80
\$\begingroup\$

Final results are here !

Introduction

In 2042, the world has become overpopulated. Globalization, overcrowding, new lifestyles and a global lack of hygiene has caused a new pandemic to spread. During those hard times, state leaders have to manage the situation. You can't let your population be decimated, but maybe you could benefit by letting your neighbors to die...

Glossary

Healthy: People not infected
Infected: People who can die from the pandemic
Dead: Body count, no particular effect (only scoring)
Infection Rate: Number of Healthy who will become Infected each turn
Contagion Rate: Percentage of Infected that will convert Healthy to Infected each turn
Lethality Rate: Percentage of Infected that will die each turn
Migration Rate: Percentage of both Healthy and Infected that will emigrate/immigrate each turn
Local: Affects only your state
Global: Affects every state

Principle

Each of the players will manage one town, starting with 100 people. Unfortunately, among them is one Infected.

The game is turn-based. A turn consists of seven phases, the last one being interactive (asking bots for a command). The order of the players is randomized each turn. The next phase begins when the previous phase has been executed by every town (Turn 1: Player 1, Player 2, Player 3... ; Turn 2: Player 3, Player 2, Player 1...) :

1. Mutation                                 - AUTOMATED
2. Reproduction                             - AUTOMATED
3. Migration                                - AUTOMATED
4. Infection                                - AUTOMATED
5. Contagion                                - AUTOMATED
6. Extinction                               - AUTOMATED
7. Players Turn                             - INTERACTIVE

The controller provides you with input via command arguments, and your program has to output via stdout.

Syntax

Input

Each time your program is called, it will receive arguments in this format:

Round;YourPlayerId;PlayerId_Healthy_Infected_Dead_InfectionRate_ContagionRate_LethalityRate_MigrationRate;PlayerId_Healthy_Infected_Dead_InfectionRate_ContagionRate_LethalityRate_MigrationRate;...

Round are 1-indexed.

Example input

6;2;1_106_23_9_2_4_13_5;0_20_53_62_16_20_35_5;2_20_53_62_16_20_35_5

Here, you see it is the 6th round and you are player 2. You have 20 healthy, 53 infected, 62 dead, 16% infection rate, 20% contagion rate, 35% lethality rate, and a 5% migration rate.

Output

You have to output three characters (no space, no separator), which each correspond to one action you'll take this turn. The order of the characters determine the order of the actions. You can output the same actions multiple times.

N: Do Nothing
M: Research Microbiology [Effects: Reduce local Infection Rate by 4%]
E: Research Epidemiology [Effects: Reduce local Contagion Rate by 8%]
I: Research Immunology [Effects: Reduce local Lethality Rate by 4%]
V: Research Vaccination [Effects: Reduce local Infection Rate by one, reduce local Contagion Rate by 4%, reduce local Lethality Rate by 2%]
C: Give Cure [Effects: Convert 10 local Infected to Healthy]
Q: Quarantine [Effects: Remove 30 local Infected]
O: Open Borders [Effects: Increase local Migration Rate by 10%]
B: Close Borders [Effects: Decrease local Migration Rate by 10%]
T: BioTerrorism [Effects: Convert 4 global Healthy to Infected]
W: Weaponization [Effects: Increase global Infection Rate by 1, increase global Lethality Rate by 2%]
D: Dissemination [Effects: Increase global Infection Rate by 1, increase global Contagion Rate by 2%]
P: Pacification [Effects: Decrease global Infection Rate by 1, decrease global Contagion Rate by 1%, decrease global Lethality Rate by 1%]

Gameplay

All phases

Invalid command = Nothing
Percentage are added up like integers, i.e. 10% - 4% = 6%. When percentage are applied in a formula, the result is floored.

Phase 1: Mutation

The pandemic is becoming more potent. Each turn, it randomly gains one of these attributes (this mutation affects all players at once):

  • Increase global Infection Rate by 2
  • Increase global Contagion Rate by 5%
  • Increase global Lethality Rate by 5%

Phase 2: Reproduction

Every five rounds (round 5, 10, 15...), new citizens will be born. Each pair of Healthy will make one Healthy (23 Healthy generate 11 new Healthy). Each pair of Infected will make one Infected.

Phase 3: Migration

Each turn, a percentage of Healthy and Infected will leave states, depending on their Migration Rate (10 Healthy will leave a state with 100 Healthy and 10% Migration Rate). Then, the migrants will be distributed among every state, once again depending on Migration Rate. (The rates of each state are weighted and migrants are then all distributed accordingly).

Phase 4: Infection

Healthy of each state are converted to Infected, according to Infection Rate.

Phase 5: Contagion

Healthy of each state are converted to Infected, according to Contagion Rate. The number is calculated by multiplying the Infected by the Contagion Rate.

Phase 6: Extinction

Infected are converted to Dead, according to Lethality Rate. The number is calculated by multiplying the Infected by the Lethality Rate.

Phase 7: Players turn

Each player receive input and must output three actions, that are executed in the order they are output.

Rules

  • Bots should not be written to beat or support specific other bots.
  • Writing to files is allowed. Please write to "yoursubmissionname.txt", the folder will be emptied before a game starts. Other external resources are disallowed.
  • Your submission has one second to respond (per town).
  • Provide commands to compile and run your submissions.

Winning

Winner is the one with the most Healthy after 50 rounds. If a player is the last alive (more than 0 Healthy or Infected) the game stops and he wins. If multiple players have the same amount of Healthy, the one with most Infected will win, then the one with fewer Deads.

Controller

You can find the controller on GitHub. It also contains three samplebots, written in Java.
To make it run, check out the project and open it in your Java IDE. The entry point in the main method of the class Game. Java 8 required.

To add bots, first you need either the compiled version for Java (.class files) or the sources for interpreted languages. Place them in the root folder of the project. Then, create a new Java class in the players package (you can take example on the already existing bots). This class must implement Player to override the method String getCmd(). The String returned is the shell command to run your bots. You can for example make a Ruby bot work with this command : return "C:\Ruby\bin\ruby.exe MyBot.rb";. Finally, add the bot in the players array at the top of the Game class.

Final Results (2016-03-04 08:22 GMT)

Global (100 reputation) :

100 games results : http://pasted.co/942200ff

1. EvilBot (24, 249, 436)
2. Triage (23, 538, 486)
3. WICKED (23, 537, 489)
4. Israel (23, 40, 240)
5. InfectedTown (22, 736, 482)
6. ZombieState (22, 229, 369)
7. Mooch (22, 87, 206)
8. InfectedHaven (21, 723, 483)
9. Crossroads (16, 9, 136)
10. TheKeeper (3, 4, 138)
11. Terrorist (0, 595, 496)
12. InfectionBot (0, 511, 430)
13. FamilyValues (0, 6, 291)
14. UndecidedBot (0, 0, 20)
15. XenoBot (0, 0, 26)
16. Researcher (0, 0, 33)
17. Strategist (0, 0, 42)
18. TheCure (0, 0, 55)
19. Socialist (0, 0, 67)
20. TrumpBot (0, 0, 77)
21. CullBot (0, 0, 81)
22. BackStabber (0, 0, 87)
23. BlunderBot (0, 0, 104)
24. RemoveInfected (0, 0, 111)
25. PFC (0, 0, 117)
26. BioterroristBot (0, 0, 118)
27. PassiveBot (0, 0, 118)
28. Smaug (0, 0, 118)
29. WeaponOfMassDissemination (0, 0, 119)
30. AllOrNothing (0, 0, 121)
31. Obamacare (0, 0, 122)
32. DisseminationBot (0, 0, 123)
33. CureThenQuarantine (0, 0, 125)
34. Madagascar (0, 0, 129)
35. OpenAndClose (0, 0, 129)
36. ThePacifist (0, 0, 130)
37. MedicBot (0, 0, 131)
38. Medic (0, 0, 133)
39. Salt (0, 0, 134)
40. Piecemeal (0, 0, 136)
41. Graymalkin (0, 0, 137)
42. PureBot (0, 0, 140)
43. MadScienceBot (0, 0, 144)
44. BipolarBot (0, 0, 149)
45. RedCross (0, 0, 151)

Doomsday-less (200 reputation) :

100 games results : http://pasted.co/220b575b

1. FamilyValues (5708, 14, 2)
2. BlunderBot (5614, 12, 3)
3. Graymalkin (5597, 17, 4)
4. PureBot (5550, 12, 5)
5. Crossroads (5543, 11, 4)
6. Salt (5488, 24, 7)
7. CureThenQuarantine (5453, 13, 7)
8. Piecemeal (5358, 121, 23)
9. TrumpBot (5355, 12, 5)
10. CullBot (5288, 12, 9)
11. AllOrNothing (5284, 13, 10)
12. Madagascar (5060, 180, 35)
13. TheKeeper (4934, 165, 44)
14. WICKED (4714, 25, 5)
15. Strategist (2266, 25, 5)
16. BackStabber (2180, 1327, 596)
17. RemoveInfected (2021, 33, 27)
18. OpenAndClose (1945, 667, 394)
19. Triage (1773, 401, 80)
20. TheCure (1465, 46, 26)
21. Obamacare (1263, 525, 247)
22. Mooch (1103, 546, 269)
23. Israel (1102, 580, 292)
24. RedCross (1086, 1700, 727)
25. ThePacifist (1069, 636, 580)
26. Researcher (1035, 113, 37)
27. UndecidedBot (825, 219, 93)
28. PassiveBot (510, 990, 567)
29. MedicBot (411, 1474, 667)
30. Medic (392, 1690, 619)
31. Socialist (139, 63, 90)
32. XenoBot (0, 82, 170)

Thank you everyone for your participation. I hope you had as great a time designing and coding your bots as I had running the game.

\$\endgroup\$
86
  • 9
    \$\begingroup\$ Can we get an Execute command that murders X amount of infected (turning them straight to dead)? Probably not a viable method to winning, but an action that seems legitimate. Unless that's what Quarantine does (it is unclear). \$\endgroup\$ Jan 25, 2016 at 18:20
  • 3
    \$\begingroup\$ Quick grammar note: "Sane" means "mentally stable"; the word you're (probably) looking for here is "healthy." (Would I be correct in guessing that your first language is Spanish, where "sano" means "healthy," or something closely related?) \$\endgroup\$ Jan 25, 2016 at 20:18
  • 6
    \$\begingroup\$ @MasonWheeler Nitpicking terminology note: Your note was a terminology or vocabulary note as there was no grammar involved ;) \$\endgroup\$
    – Jan
    Jan 25, 2016 at 22:50
  • 3
    \$\begingroup\$ @Thrax The way turns are currently handled (randomized at the start, same order from then on), gives players who come later in the turn order a huge advantage, which makes the end result wildly variant. Perhaps if you either 1) randomized the turn order each round, or 2) make everyone view the same state during their turn and apply the changes to everyone simultaneously at the end of the round, then the results might be more balanced, and be based more on the quality of the submission. I tested the first option, and the results are much more consistent. \$\endgroup\$
    – Mwr247
    Jan 26, 2016 at 6:13
  • 7
    \$\begingroup\$ @Thrax There's currently an overabundance of bots that exist simply to "destroy the world". While this can be a fun challenge, it's at the point where bots actually attempting to compete can't effectively counter it anymore, and we're left with whatever bots are programmed to "Cure X 3" at the end as the winners. I'd like to suggest a rule change where in order to be considered for the KOTH, bots need to at least be capable of ending up with positive "sanes" in a 1-on-1 match up against PassiveBot? The challenge is more fun when strategies actually have an effect. \$\endgroup\$
    – Mwr247
    Jan 26, 2016 at 22:05

37 Answers 37

27
\$\begingroup\$

TrumpBot

private void sleep(String[] args) {

    round = Integer.parseInt(args[0]);
    thisTownID = Integer.parseInt(args[1]);

    states = new ArrayList<>();
    //states.add(new State(args[thisTownID+2]));

    otherStates = new ArrayList<>();


    for (int i = 2; i < args.length; i++){
        states.add(new State(args[i]));
    }

    for (State state : states){
        if (state.ownerId == thisTownID) {
            thisState = state;
        } else {
            otherStates.add(state);
        }
    }

    StringBuilder cmd = new StringBuilder();

    for (int j =0;j<3;j++){
        if (thisState.infected > 7) {
          if (thisState.infected > 25){
            cmd.append("Q");
            thisState.infected -= 30;
          }
          else {
            cmd.append("C");
            thisState.infected -= 10;
          }
        }
        else if (thisState.migrationRate > 2) {
          cmd.append("B");
          thisState.migrationRate -= 10;
        }
        else if (thisState.infectionRate > 4) {
          cmd.append("M");
          thisState.infectionRate  -= 4;
        }
        else if (thisState.contagionRate > 10 || thisState.lethalityRate > 6 || thisState.infectionRate > 0) {
          cmd.append("V");
          thisState.contagionRate  -= 4;
          thisState.lethalityRate  -= 2;
          thisState.infectionRate  -= 1;
        }

        else if (thisState.infected % 10 <= 6){
          cmd.append("T");
          thisState.infected +=4;
        }
        else cmd.append("V");
    }
    System.out.print(cmd.reverse());
}

Makes America great by curing all the infected unless there are only 2 or less; minorities will be ignored.

Having less infections makes the medicine cheaper.

Needs no immigrants – they only bring infection.

If there is nothing left to do, bomb the other players.

Reversed command order to the American way, bombs first cure people later.

Edit: fixed a bug that would spam cures because the infected count wasn't lowered after curing.

Trumpscript

Thanks to J Atkin for providing it:

Make turn 4000000
As long as, turn larger than 1000000;:
If, refugee count > 2000000;: say "C"!
Else if, infectionRate > 200000;: say "M"!
Else if, immigration rate > 9000000;: say "B"!
Else: say "T"!
Make turn old turn - 1000000!
America is Great. 
\$\endgroup\$
0
14
\$\begingroup\$

AllOrNothing, R

args <- strsplit(commandArgs(TRUE),";")[[1]]
round <- as.integer(args[1])
me <- as.integer(args[2])
stats <- do.call(rbind,strsplit(args[-(1:2)],"_"))
stats <- as.data.frame(apply(stats,2,as.integer))
colnames(stats) <- c("id","Sane","Infected","Dead","InfRate","ContRate","LethRate","MigRate")
out <- ""
statme <- stats[stats$id==me,]
while(nchar(out)<3){
    if(round==1 & !nchar(out)){
        out <- paste0(out, "B")
    }else if(round%%5==4 & statme$Infected > 20){
        statme$Infected <- statme$Infected - 30
        out <- paste0(out, "Q")
    }else if(statme$Sane*statme$InfRate/100 >= 1){
        o <- ifelse(statme$Sane*statme$InfRate/100 < statme$Infected*statme$ContRate/100, "C", "M")
        if(o=="C") statme$Infected <- statme$Infected - 10
        if(o=="M") statme$InfRate <- statme$InfRate - 4
        out <- paste0(out, o)
    }else if(statme$Infected > 0){
        statme$Infected <- statme$Infected - 10
        out <- paste0(out, "C")
    }else if(median(stats$LethRate)<20){ 
        out <- paste0(out, "W")
    }else{
        out <- paste0(out, "E")     
    }
}
cat(substr(out,1,3))

Invoked by Rscript AllOrNothing.R.

The idea here is on one hand to limit to the maximum the risk of infection (by lowering infection rate, curing the infected and preventing infected to immigrate) and on the other hand to increase the lethality of the disease so that the people that do get infected, die before contaminating the others.

Edit: tweaked the strategy a little.

\$\endgroup\$
4
  • \$\begingroup\$ Nice, it seems to be doing extraordinarily good against the 21 other states! \$\endgroup\$
    – Thrax
    Jan 26, 2016 at 16:06
  • \$\begingroup\$ @Thrax Indeed, though occasionally, during some runs, it still fails quite impressively :) But most often it succeeds as in your test run. \$\endgroup\$
    – plannapus
    Jan 26, 2016 at 16:09
  • \$\begingroup\$ thats quite the amazing bot, good job \$\endgroup\$
    – Eumel
    Jan 26, 2016 at 17:33
  • \$\begingroup\$ This looks very similar to a state I was going to write when I found the time, if not identical. Mine only exists in my head though ("if 20ish infected, quarantine them, if 10ish, cure them, etc.") so good job. \$\endgroup\$ Jan 26, 2016 at 20:57
12
+200
\$\begingroup\$

Family Values, Node (ES6)

// Process input
var data = process.argv[2].split(';');
var round = data.shift()*1;
var id = data.shift()*1;
var playerCount = data.length;
var local = data.find(function(v) {
  return !v.indexOf(id+'_')}
).split('_');
local = {
  sane: local[1]*1,
  infected: local[2]*1,
  dead: local[3]*1,
  infectionRate: local[4]*1,
  contagionRate: local[5]*1,
  lethalityRate: local[6]*1,
  migrationRate: local[7]*1
};

// Determine response
var response = [];
for(var i=0;i<3;i++) {
  var model = {
    M: local.infectionRate,
    E: local.contagionRate * (local.sane > 0 ? 1 : 0.5),
    I: local.lethalityRate * (round > 45 ? 0 : local.sane > 0 ? 1 : 2),
    V: (local.infectionRate/4 + local.contagionRate/2 + local.lethalityRate/2) * (round > 45 ? 0 : 1),
    C: local.infected / Math.max(local.infectionRate, 1) * (round > 48 ? round : local.infectionRate + local.contagionRate/100 * local.infected < (3 - i) * 10 ? 1 : 0),
    B: local.migrationRate * 10
  };
  var max = 'M';
  for(k in model) {
    if (model[k] > model[max] ) {
      max = k;
    } else if(model[k] == model[max]) {
      max = [max, k][Math.random()*2|0];
    }
  }
  response.push(max);

  // Refactor priorities
  if(max == 'M') {
    local.infectionRate -= 4;
  } else if(max == 'E') {
    local.contagionRate -= 8;
  } else if(max == 'I') {
    local.lethalityRate -= 4;
  } else if(max == 'V') {
    local.infectionRate -= 1;
    local.contagionRate -= 4;
    local.lethalityRate -= 2;
  } else if(max == 'C') {
    local.infected -= 10;
  } else if(max == 'B') {
    local.migrationRate -= 10;
  }
}

// Respond with actions
process.stdout.write(response.join(''));

Family Values focuses of self-preservation and defense, and only performs actions to that end. It uses a point-value system to determine the best course of action to take, and then adjusts it's own status values to better determine it's next priority. In the event of a tie, it randomly chooses from among the best options.

EDIT: Seems to be doing alright so far:

    ********** FINISH **********
    1. FamilyValues (1143, 0, 188)
    2. Triage (582, 0, 158)
    3. Researcher (281, 0, 142)
    4. Madagascar (149, 0, 162)
    5. Mooch (148, 0, 331)
    6. MedicBot (142, 0, 161)
    7. Medic (66, 65, 211)
    8. XenoBot (0, 0, 22)
    9. WMDbot (0, 0, 218)
    10. PassiveBot (0, 0, 221)
    11. BioterroristBot (0, 0, 221)
    12. MadScienceBot (0, 0, 221)
    13. DisseminationBot (0, 0, 221)
    14. TheCure (0, 0, 222)

The Pacifist, Node

// Process input
var data = process.argv[2].split(';');
var round = data.shift()*1;

// Respond with actions
process.stdout.write(round == 1 ? 'OOO' : 'PPP');

With so much focus on killing and death, the Pacifist believes that strong global health means strong local health. As such, they pretty much just focuses on reducing global illness, while leaving borders partly open to allow the goodness to spread around.

\$\endgroup\$
8
  • \$\begingroup\$ Wow, I didn't expect TheCure to be the last \$\endgroup\$
    – justhalf
    Jan 26, 2016 at 4:15
  • \$\begingroup\$ @justhalf With this many players, they all end up moving around alot on the boards: just ran one now where TheCure ended up in 3rd. Both FamilyValues and Triage are almost always in the top two though, with FV getting #1 most of the time. \$\endgroup\$
    – Mwr247
    Jan 26, 2016 at 4:23
  • \$\begingroup\$ Hmm, the task itself is deterministic, right? So is it due to some players putting randomness into their algorithm? \$\endgroup\$
    – justhalf
    Jan 26, 2016 at 5:40
  • \$\begingroup\$ @justhalf The biggest factor by far appears to be turn order, which is randomized (but the same for every round in a game). Going first means you don't have a chance to react to everyone's actions during the current turn, whereas going last allows you to best adjust to what other players have done to you. \$\endgroup\$
    – Mwr247
    Jan 26, 2016 at 6:02
  • 1
    \$\begingroup\$ @justhalf I just tested a modified controller that randomizes turn order for each round, and the results are much more consistent now. \$\endgroup\$
    – Mwr247
    Jan 26, 2016 at 6:16
12
\$\begingroup\$

Medic

The Medic was always... troubled, so to speak, by the people without medicine. He loves to practice medicine, so that's all he does. He also likes pythons, so he wrote his code in Python. It all makes sense, if you think about it. No, it really doesn't. Actually, it kinda does...

from random import *
commands = ""
while len(commands) < 3:
    chance = random()
    if chance < .5: commands += "V"
    elif chance < .66: commands += "I"
    elif chance < .84: commands += "E"
    else: commands += "M"

print(commands)

I am here to help.

I am here to help.

\$\endgroup\$
3
  • 4
    \$\begingroup\$ Pythons as in the rod of Asclepius? Or as in the staff of Hermes? It can make some sense... \$\endgroup\$ Jan 25, 2016 at 20:26
  • 3
    \$\begingroup\$ Either! Both! Why not? It all makes sense! \$\endgroup\$ Jan 25, 2016 at 20:35
  • 7
    \$\begingroup\$ ++1; for TF2 :D \$\endgroup\$
    – cat
    Jan 26, 2016 at 2:24
11
\$\begingroup\$

The Cure

This seems a bit too simplistic, but it also seems like a pretty good method to keep the infection/death rate down. On every turn, outputs MCQ:

  • Reduce infection rate
  • Cure some infected
  • Quarantine some of the remaining infected

That's it!

public class TheCure{
    public static void main(String[]a){
        System.out.println("MCQ");
    }
}

I could probably improve this by outputting more M (or B) if I have no currently infected instead of curing and quarantining, but I'd like to see how well this does first. Unfortunately, one side effect of posting first is that it's hard to gauge effectiveness:

\$\endgroup\$
9
\$\begingroup\$

WICKED, Kotlin

Remember, WICKED is good.

package wicked

import java.util.*

fun clamp(value : Double, floor : Double, ceil : Double = Double.POSITIVE_INFINITY) = Math.max(Math.min(value, ceil), floor)
fun clamp(value : Int, floor : Int, ceil : Int = Integer.MAX_VALUE) = Math.max(Math.min(value, ceil), floor)

data class Player(
        val id            : Int,
        var healthy          : Int,
        var infected      : Int,
        var dead          : Int,
        var infectionRate : Int,
        var contagionRate : Double,
        var lethalityRate : Double,
        var migrationRate : Double)

class Game(val players : List<Player>) {

    fun doAction(playerId: Int, a: Char) {
        val player = players.first { it.id == playerId }
        with(player) {
            when (a) {
                'N' -> {}
                'M' -> infectionRate = clamp(infectionRate - 4, 0)
                'E' -> contagionRate = clamp(contagionRate - .08, 0.0, 1.0)
                'I' -> lethalityRate = clamp(lethalityRate - .04, 0.0, 1.0)
                'V' -> {
                    infectionRate = clamp(infectionRate - 1, 0)
                    contagionRate = clamp(contagionRate - .04, 0.0, 1.0)
                    lethalityRate = clamp(lethalityRate - .02, 0.0, 1.0)
                }
                'C' -> {
                    val cured = Math.min(infected, 10)
                    infected -= cured
                    healthy += cured
                }
                'Q' -> infected = clamp(infected - 30, 0)
                'O' -> migrationRate = clamp(migrationRate + .1, 0.0, 1.0)
                'B' -> migrationRate = clamp(migrationRate - .1, 0.0, 1.0)
                'T' -> {
                    players.forEach {
                        val infected = Math.min(it.healthy, 4)
                        it.healthy -= infected
                        it.infected += infected
                    }
                }
                'W' -> {
                    players.forEach {
                        it.infectionRate++
                        it.lethalityRate = clamp(it.lethalityRate + .02, 0.0, 1.0)
                    }
                }
                'D' -> {
                    players.forEach {
                        it.infectionRate++
                        it.contagionRate = clamp(it.contagionRate + .02, 0.0, 1.0)
                    }
                }
                'P' -> {
                    players.forEach {
                        it.infectionRate = clamp(it.infectionRate - 1, 0)
                        it.contagionRate = clamp(it.contagionRate - .01, 0.0, 1.0)
                        it.lethalityRate = clamp(it.lethalityRate - .01, 0.0, 1.0)
                    }
                }
                else -> throw IllegalArgumentException("Invalid action: $a")
            }
        }
    }

    fun copy() = Game(players.map { it.copy() })

    fun migration() {
        var migratingHealthy = 0
        var migratingInfected = 0
        var totalMigratingWeight = 0.0

        players.forEach {
            migratingHealthy += (it.healthy * it.migrationRate).toInt()
            migratingInfected += (it.infected * it.migrationRate).toInt()
            totalMigratingWeight += it.migrationRate

            it.healthy = (it.healthy * (1 - it.migrationRate)).toInt()
            it.infected *= (it.healthy * (1 - it.migrationRate)).toInt()
        }

        players.forEach {
            it.healthy += (migratingHealthy * it.migrationRate / totalMigratingWeight).toInt()
            it.infected += (migratingInfected * it.migrationRate / totalMigratingWeight).toInt()
        }
    }

    fun infection() {
        players.forEach {
            val infected = it.infectionRate //Allow negative healthy.
            it.healthy -= infected
            it.infected += infected
        }
    }

    fun contagion() {
        players.forEach {
            val infected = (it.infected * it.contagionRate).toInt()
            it.healthy -= infected
            it.infected += infected
        }
    }

    fun extinction() {
        players.forEach {
            val killed = (it.infected * it.lethalityRate).toInt()
            it.infected -= killed
            it.dead += killed
        }
    }

    operator fun get(playerId : Int) = players.first { it.id == playerId }

    fun calculateBenefit(action : Char, myId: Int) : Int {

        val copy1 = copy()
        copy1.doAction(myId, action)

        copy1.migration()
        copy1.infection()
        copy1.contagion()
        copy1.extinction()

        return copy1[myId].healthy
    }

}

fun main(args : Array<String>) {
    @Suppress("NAME_SHADOWING")
    val args = args[0].split(';')

    val round = args[0].toInt()
    val myId = args[1].toInt()

    val players : MutableList<Player> = ArrayList()

    for ( i in 2..args.size-1) {
        val data = args[i].split('_')
        players.add(Player(data[0].toInt(), data[1].toInt(), data[2].toInt(), data[3].toInt(), data[4].toInt(), data[5].toDouble() / 100, data[6].toDouble() / 100, data[7].toDouble() / 100))
    }

    val currentGame = Game(players)

    if (round == 50) {
        println("CCC")  //Extra 30 at end of game.
        return
    }

    for (i in 1..3) {
        val action = determineBestAction(currentGame, myId)
        currentGame.doAction(myId, action)
        print(action)
    }
}

fun determineBestAction(game : Game, myId : Int) : Char {

    if (game[myId].lethalityRate > .02) {        //Save the executives!!!
        return 'I'
    } else if (game[myId].lethalityRate > 0) {
        return 'V'
    }

    val bestAction = "NMEIVQCOBP".maxBy { game.calculateBenefit(it, myId) }!!

    return bestAction

}

Compile with: kotlinc WICKED.kt
Run with: kotlin wicked.WICKEDKt

PFC, Kotlin

Attempts to release the disease on everyone.

package pfc

import java.util.*

fun clamp(value : Double, floor : Double, ceil : Double = Double.POSITIVE_INFINITY) = Math.max(Math.min(value, ceil), floor)
fun clamp(value : Int, floor : Int, ceil : Int = Integer.MAX_VALUE) = Math.max(Math.min(value, ceil), floor)

data class Player(
        val id            : Int,
        var healthy          : Int,
        var infected      : Int,
        var dead          : Int,
        var infectionRate : Int,
        var contagionRate : Double,
        var lethalityRate : Double,
        var migrationRate : Double)

class Game(val players : List<Player>) {

    fun doAction(playerId: Int, a: Char) {
        val player = players.first { it.id == playerId }
        with(player) {
            when (a) {
                'N' -> {}
                'M' -> infectionRate = clamp(infectionRate - 4, 0)
                'E' -> contagionRate = clamp(contagionRate - .08, 0.0, 1.0)
                'I' -> lethalityRate = clamp(lethalityRate - .04, 0.0, 1.0)
                'V' -> {
                    infectionRate = clamp(infectionRate - 1, 0)
                    contagionRate = clamp(contagionRate - .04, 0.0, 1.0)
                    lethalityRate = clamp(lethalityRate - .02, 0.0, 1.0)
                }
                'C' -> {
                    val cured = Math.min(infected, 10)
                    infected -= cured
                    healthy += cured
                }
                'Q' -> infected = clamp(infected - 30, 0)
                'O' -> migrationRate = clamp(migrationRate + .1, 0.0, 1.0)
                'B' -> migrationRate = clamp(migrationRate - .1, 0.0, 1.0)
                'T' -> {
                    players.forEach {
                        val infected = Math.min(it.healthy, 4)
                        it.healthy -= infected
                        it.infected += infected
                    }
                }
                'W' -> {
                    players.forEach {
                        it.infectionRate++
                        it.lethalityRate = clamp(it.lethalityRate + .02, 0.0, 1.0)
                    }
                }
                'D' -> {
                    players.forEach {
                        it.infectionRate++
                        it.contagionRate = clamp(it.contagionRate + .02, 0.0, 1.0)
                    }
                }
                'P' -> {
                    players.forEach {
                        it.infectionRate = clamp(it.infectionRate - 1, 0)
                        it.contagionRate = clamp(it.contagionRate - .01, 0.0, 1.0)
                        it.lethalityRate = clamp(it.lethalityRate - .01, 0.0, 1.0)
                    }
                }
                else -> throw IllegalArgumentException("Invalid action: $a")
            }
        }
    }

    fun copy() = Game(players.map { it.copy() })

    fun migration() {
        var migratingHealthy = 0
        var migratingInfected = 0
        var totalMigratingWeight = 0.0

        players.forEach {
            migratingHealthy += (it.healthy * it.migrationRate).toInt()
            migratingInfected += (it.infected * it.migrationRate).toInt()
            totalMigratingWeight += it.migrationRate

            it.healthy = (it.healthy * (1 - it.migrationRate)).toInt()
            it.infected *= (it.healthy * (1 - it.migrationRate)).toInt()
        }

        players.forEach {
            it.healthy += (migratingHealthy * it.migrationRate / totalMigratingWeight).toInt()
            it.infected += (migratingInfected * it.migrationRate / totalMigratingWeight).toInt()
        }
    }

    fun infection() {
        players.forEach {
            val infected = Math.min(it.healthy, it.infectionRate)
            it.healthy -= infected
            it.infected += infected
        }
    }

    fun contagion() {
        players.forEach {
            val infected = Math.min(it.healthy, (it.infected * it.contagionRate).toInt())
            it.healthy -= infected
            it.infected += infected
        }
    }

    fun extinction() {
        players.forEach {
            val killed = (it.infected * it.lethalityRate).toInt()
            it.infected -= killed
            it.dead += killed
        }
    }

    operator fun get(playerId : Int) = players.first { it.id == playerId }

    fun calculateBenefit(action : Char, myId: Int) : Int {

        val copy1 = copy()
        copy1.doAction(myId, action)

        copy1.migration()
        copy1.infection()
        copy1.contagion()
        copy1.extinction()

        return copy1.players.sumBy { it.infected }
    }

}

fun main(args : Array<String>) {
    @Suppress("NAME_SHADOWING")
    val args = args[0].split(';')

    @Suppress("UNUSED_VARIABLE")
    val round = args[0].toInt()
    val myId = args[1].toInt()

    val players : MutableList<Player> = ArrayList()

    for ( i in 2..args.size-1) {
        val data = args[i].split('_')
        players.add(Player(data[0].toInt(), data[1].toInt(), data[2].toInt(), data[3].toInt(), data[4].toInt(), data[5].toDouble() / 100, data[6].toDouble() / 100, data[7].toDouble() / 100))
    }

    val currentGame = Game(players)

    for (i in 1..3) {
        val action = determineBestAction(currentGame, myId)
        currentGame.doAction(myId, action)
        print(action)
    }
}

fun determineBestAction(game : Game, myId : Int) : Char {

    val bestAction = "NMEIVCQOBTWDP".maxBy { game.calculateBenefit(it, myId) }!!

    return bestAction

}

Compile with: kotlinc PFC.kt
Run with: kotlin pfc.PFCKt

Terrorist, Kotlin

Tries to make all people dead.

package terrorist

import java.util.*

fun clamp(value : Double, floor : Double, ceil : Double = Double.POSITIVE_INFINITY) = Math.max(Math.min(value, ceil), floor)
fun clamp(value : Int, floor : Int, ceil : Int = Integer.MAX_VALUE) = Math.max(Math.min(value, ceil), floor)

data class Player(
        val id            : Int,
        var healthy          : Int,
        var infected      : Int,
        var dead          : Int,
        var infectionRate : Int,
        var contagionRate : Double,
        var lethalityRate : Double,
        var migrationRate : Double)

class Game(val players : List<Player>) {

    fun doAction(playerId: Int, a: Char) {
        val player = players.first { it.id == playerId }
        with(player) {
            when (a) {
                'N' -> {}
                'M' -> infectionRate = clamp(infectionRate - 4, 0)
                'E' -> contagionRate = clamp(contagionRate - .08, 0.0, 1.0)
                'I' -> lethalityRate = clamp(lethalityRate - .04, 0.0, 1.0)
                'V' -> {
                    infectionRate = clamp(infectionRate - 1, 0)
                    contagionRate = clamp(contagionRate - .04, 0.0, 1.0)
                    lethalityRate = clamp(lethalityRate - .02, 0.0, 1.0)
                }
                'C' -> {
                    val cured = Math.min(infected, 10)
                    infected -= cured
                    healthy += cured
                }
                'Q' -> infected = clamp(infected - 30, 0)
                'O' -> migrationRate = clamp(migrationRate + .1, 0.0, 1.0)
                'B' -> migrationRate = clamp(migrationRate - .1, 0.0, 1.0)
                'T' -> {
                    players.forEach {
                        val infected = Math.min(it.healthy, 4)
                        it.healthy -= infected
                        it.infected += infected
                    }
                }
                'W' -> {
                    players.forEach {
                        it.infectionRate++
                        it.lethalityRate = clamp(it.lethalityRate + .02, 0.0, 1.0)
                    }
                }
                'D' -> {
                    players.forEach {
                        it.infectionRate++
                        it.contagionRate = clamp(it.contagionRate + .02, 0.0, 1.0)
                    }
                }
                'P' -> {
                    players.forEach {
                        it.infectionRate = clamp(it.infectionRate - 1, 0)
                        it.contagionRate = clamp(it.contagionRate - .01, 0.0, 1.0)
                        it.lethalityRate = clamp(it.lethalityRate - .01, 0.0, 1.0)
                    }
                }
                else -> throw IllegalArgumentException("Invalid action: $a")
            }
        }
    }

    fun copy() = Game(players.map { it.copy() })

    fun migration() {
        var migratingHealthy = 0
        var migratingInfected = 0
        var totalMigratingWeight = 0.0

        players.forEach {
            migratingHealthy += (it.healthy * it.migrationRate).toInt()
            migratingInfected += (it.infected * it.migrationRate).toInt()
            totalMigratingWeight += it.migrationRate

            it.healthy = (it.healthy * (1 - it.migrationRate)).toInt()
            it.infected *= (it.healthy * (1 - it.migrationRate)).toInt()
        }

        players.forEach {
            it.healthy += (migratingHealthy * it.migrationRate / totalMigratingWeight).toInt()
            it.infected += (migratingInfected * it.migrationRate / totalMigratingWeight).toInt()
        }
    }

    fun infection() {
        players.forEach {
            val infected = Math.min(it.healthy, it.infectionRate)
            it.healthy -= infected
            it.infected += infected
        }
    }

    fun contagion() {
        players.forEach {
            val infected = Math.min(it.healthy, (it.infected * it.contagionRate).toInt())
            it.healthy -= infected
            it.infected += infected
        }
    }

    fun extinction() {
        players.forEach {
            val killed = (it.infected * it.lethalityRate).toInt()
            it.infected -= killed
            it.dead += killed
        }
    }

    operator fun get(playerId : Int) = players.first { it.id == playerId }

    fun calculateBenefit(action : Char, myId: Int) : Int {

        val copy1 = copy()
        copy1.doAction(myId, action)

        copy1.migration()
        copy1.infection()
        copy1.contagion()
        copy1.extinction()

        return copy1.players.sumBy { it.dead }
    }

}

fun main(args : Array<String>) {
    @Suppress("NAME_SHADOWING")
    val args = args[0].split(';')

    @Suppress("UNUSED_VARIABLE")
    val round = args[0].toInt()
    val myId = args[1].toInt()

    val players : MutableList<Player> = ArrayList()

    for ( i in 2..args.size-1) {
        val data = args[i].split('_')
        players.add(Player(data[0].toInt(), data[1].toInt(), data[2].toInt(), data[3].toInt(), data[4].toInt(), data[5].toDouble() / 100, data[6].toDouble() / 100, data[7].toDouble() / 100))
    }

    if (round == 50) {
        println("TTT")  //Let's mess up the scoreboard :D
        return
    }

    val currentGame = Game(players)
    for (i in 1..3) {
        val action = determineBestAction(currentGame, myId)
        currentGame.doAction(myId, action)
        print(action)
    }
}

fun determineBestAction(game : Game, myId : Int) : Char {

    if (game[myId].lethalityRate > .02) {          //We don't want to hurt ourselves.
        return 'I'
    } else if (game[myId].lethalityRate > 0) {
        return 'V'
    }

    val bestAction = "NMEIVCQOBTWDP".maxBy { game.calculateBenefit(it, myId) }!!

    return bestAction

}

Compile with: kotlinc Terrorist.kt
Run with: kotlin terrorist.TerroristKt

\$\endgroup\$
8
  • \$\begingroup\$ Compiling gives me a "wicked" folder with Game, Player, and WICKEDkt classes. Running as you described returns: "error: could not find or load main class wicked.WICKEDKt" \$\endgroup\$
    – Mwr247
    Jan 26, 2016 at 21:57
  • \$\begingroup\$ That's odd, it works on my computer just fine. Are you sure that the WICKEDkt class file isn't actually named WICKEDKt? Also, make sure that your working directory is not inside the wicked folder. \$\endgroup\$ Jan 26, 2016 at 22:11
  • \$\begingroup\$ It is WICKEDKt. I typoed in the comment. \$\endgroup\$
    – Mwr247
    Jan 26, 2016 at 22:13
  • \$\begingroup\$ @Mwr247 Did you leave the generated wicked folder inside the submissions folder? Did you move the generated files from the wicked folder? \$\endgroup\$ Jan 26, 2016 at 22:29
  • \$\begingroup\$ WICKED is good...damn you and your references to things I just read. \$\endgroup\$
    – ArtOfCode
    Jan 26, 2016 at 23:56
9
\$\begingroup\$

Madagascar, Java

Yep, going the Madagascar route. The first round, we BBB to close our borders. Otherwise, it gives a cure, and focuses on local vaccines.

public class Madagascar{
    public static void main(String[]args){
        Boolean bool = false;
        bool = args[0].startsWith("1;");
        
        if(bool) {
            System.out.println("BBB");
        }
        else {
            System.out.println("CVV");
        }
    }
}

Edit1 - I more-Madagascar'd
Edit2 - Thanks @Geobits for the startsWith reminder

\$\endgroup\$
5
  • \$\begingroup\$ if Geobits is right about migration rate starting at 5 and not being reducible to zero, the B's do absolutely nothing. \$\endgroup\$
    – quintopia
    Jan 25, 2016 at 19:04
  • \$\begingroup\$ This currently doesn't look as though it would compile. if (b == true) (which should be if (b) as a matter of style) will give an error because the variable is actually called bool. \$\endgroup\$ Jan 25, 2016 at 19:45
  • \$\begingroup\$ wouldnt if checking against round == 1 work a lot better than creating a file? \$\endgroup\$
    – Eumel
    Jan 25, 2016 at 21:17
  • 1
    \$\begingroup\$ @TimmyD Luckily, the round is first, so not much parsing involved. Just check if the input starts with 1; \$\endgroup\$
    – Geobits
    Jan 26, 2016 at 0:33
  • \$\begingroup\$ @Geobits Thanks for the startsWith() reminder. MUCH easier than splitting on ; and trying to recapture and ... Told ya I was rusty with Java. \$\endgroup\$ Jan 26, 2016 at 14:19
7
\$\begingroup\$

Salt, Kotlin

This bot survives until all nasty players are dead. After that, it cures its population and repopulates the town with healthy people.

This bot has 5 steps:

  1. Close borders.
  2. Allow the infected to die, but not too quickly (finding exactly how fast too quickly is is the hard part).
  3. Prevent the infected from infecting the healthy.
  4. Cure the infected (with salt :P ).
  5. Reproduce.

Here it is:

package salt

import java.io.File
import java.util.*

data class Player(
        val id            : Int,
        var healthy       : Int,
        var infected      : Int,
        var dead          : Int,
        var infectionRate : Int,
        var contagionRate : Int,
        var lethalityRate : Int,
        var migrationRate : Int)

fun main(args : Array<String>) {
    @Suppress("NAME_SHADOWING")
    val args = args[0].split(';')

    val round = args[0].toInt()
    val myId = args[1].toInt()

    val players : MutableList<Player> = ArrayList()

    for ( i in 2..args.size-1) {
        val data = args[i].split('_')
        players.add(Player(data[0].toInt(), data[1].toInt(), data[2].toInt(), data[3].toInt(), data[4].toInt(), data[5].toInt(), data[6].toInt(), data[7].toInt()))
    }

    if (round == 50) {
        println("CCC")  //Extra 30 at end of game.
        return
    }

    var actionsLeft = 3

    val me = players.first { it.id == myId }
    val dataFile = File("Salt.txt")
    val lastRoundInfected : Int
    var roundsInHole : Int
    if (round == 1) {
        lastRoundInfected = 1
        roundsInHole = 0
    } else {
        val lines = dataFile.readLines()
        lastRoundInfected = lines[0].toInt()
        roundsInHole = lines[1].toInt()
    }

    val wantedInfected = lastRoundInfected * Math.pow(1/1.5, 1.0/5) * (if (round % 5 == 0 && round != 0) 1.5 else 1.0)

    while (me.migrationRate > 0) {
        print('B')          //Close borders
        me.migrationRate = Math.max(0, me.migrationRate - 10)
        actionsLeft--
    }

    if (me.infected <= wantedInfected) {   //Our infected are dieing too quickly
        roundsInHole++
    } else {
        roundsInHole = Math.max(0, roundsInHole - 1)
    }

    if (me.lethalityRate > 0) {
        var lethalityRateDelta = roundsInHole * 2
        while (lethalityRateDelta > 0 && me.lethalityRate > 0 && actionsLeft > 0) {
            if (lethalityRateDelta == 2 || me.lethalityRate <= 2) {
                lethalityRateDelta -= 2
                print('V')  //Research vaccines
                me.infectionRate = Math.max(0, me.infectionRate - 1)
                me.contagionRate = Math.max(0, me.contagionRate - 4)
                me.lethalityRate = Math.max(0, me.lethalityRate - 2)
                actionsLeft--
            } else {
                lethalityRateDelta -= 4
                print('I')
                me.lethalityRate = Math.max(0, me.lethalityRate - 4)
                actionsLeft--
            }
        }
    }

    dataFile.writeText("${me.infected}\n$roundsInHole")

    while (actionsLeft > 0) {
        if (me.infectionRate + me.contagionRate * me.infected / 100 <= 0) {
            break
        }
        val mWeight = Math.min(me.infectionRate, 4)
        val eWeight = Math.min(me.contagionRate, 8) * me.infected / 100
        val vWeight = Math.min(me.contagionRate, 4) * me.infected / 100 + Math.min(me.infectionRate, 1)
        if (mWeight > eWeight && mWeight > vWeight) {
            print('M')      //Research microbiology
            me.infectionRate = Math.max(0, me.infectionRate - 4)
        } else if (eWeight > vWeight){
            print('E')      //Research epidemiology
            me.contagionRate = Math.max(0, me.contagionRate - 8)
        } else {
            print('V')      //Research vaccines
            me.infectionRate = Math.max(0, me.infectionRate - 1)
            me.contagionRate = Math.max(0, me.contagionRate - 4)
            me.lethalityRate = Math.max(0, me.lethalityRate - 2)
        }
        actionsLeft--
    }

    while (actionsLeft > 0) {
        if (me.infected <= 0) {
            break
        }
        print('C')          //Cure
        val cured = Math.min(me.infected, 10)
        me.infected -= cured
        me.healthy += cured
        actionsLeft--
    }

    while (actionsLeft > 0) {
        print('N')          //Do nothing
        actionsLeft--
    }

    return
}

Compile with: kotlinc Salt.kt
Run with: kotlin salt.SaltKt

EDIT: Higher likelihood of surviving until most of the "end the world" bots are dead.

Example results:

1. Salt (247, 12, 280)
2. InfectedTown (30, 2016, 843)
3. ZombieState (30, 1030, 609)
4. WICKED (30, 413, 222)
5. Triage (18, 965, 706)
6. Mooch (18, 657, 597)
7. MadScienceBot (18, 305, 647)
8. TheKeeper (13, 0, 158)
9. FamilyValues (10, 110, 373)
10. Madagascar (2, 0, 271)
11. Terrorist (0, 1358, 651)
12. InfectionBot (0, 1217, 830)
13. Medic (0, 27, 340)
14. MedicBot (0, 1, 200)
15. UndecidedBot (0, 0, 33)
16. Researcher (0, 0, 63)
17. TheCure (0, 0, 71)
18. TrumpBot (0, 0, 88)
19. WeaponOfMassDissemination (0, 0, 137)
20. Strategist (0, 0, 142)
21. PassiveBot (0, 0, 149)
22. DisseminationBot (0, 0, 152)
23. PassiveBot (0, 0, 155)
24. Crossroads (0, 0, 164)
25. InfectedHaven (0, 0, 170)
26. Socialist (0, 0, 172)
27. BioterroristBot (0, 0, 175)
28. XenoBot (0, 0, 184)
29. ThePacifist (0, 0, 199)
30. CullBot (0, 0, 294)
31. AllOrNothing (0, 0, 327)
\$\endgroup\$
3
  • \$\begingroup\$ Very nice strategy. I like that you make use of lethality in a "good" way! \$\endgroup\$
    – Thrax
    Jan 28, 2016 at 8:31
  • \$\begingroup\$ Good job putting an end to the "end-of-the-world" bots! However, Salt might topple if there were a few more of those bots, I'm not sure though. The ability to survive that is very impressive already, nice one man! \$\endgroup\$
    – busukxuan
    Jan 28, 2016 at 8:41
  • \$\begingroup\$ @busukxuan As it currently is, several bots would have to maximize the lethality rate before they could kill this, killing themselves in the process. \$\endgroup\$ Jan 28, 2016 at 19:30
7
\$\begingroup\$

PureBot (Haskell)

PureBot hates one thing: Side effects!
It will try to handle all side effects, and if everything goes well, it will reduce the amount of side effects produced by the outside world.
It also ignores all side effects in its calculations.
This makes it play significantly better against passive enemies (that do not change global rates).

If infected, infection, contagion, lethality and migration are all zero, it will help the other bots with the P (for Pure) command.

module Main where
import Control.Monad (void)
import Data.List (find)
import System.Environment (getArgs)
import System.Exit (exitFailure)
import Text.Parsec

-- | The world
data World = World
    { worldRound  :: Int    -- ^ The current round
    , worldTownID :: Int    -- ^ The current town ID
    , worldTowns  :: [Town] -- ^ List of all towns in the world
    }
    deriving (Show)

-- | A town in the world
data Town = Town
    { townID            :: Int -- ^ The town ID
    , townDeath         :: Int -- ^ The number of death people in the town
    , townHealthy       :: Int -- ^ The number of healthy people in the town
    , townInfected      :: Int -- ^ The number of infected people in the town
    , townInfectionRate :: Int -- ^ The infaction rate of the town
    , townContagionRate :: Int -- ^ The contagion rate of the town
    , townLethalityRate :: Int -- ^ The lethality rate of the town
    , townMigrationRate :: Int -- ^ The migration rate of the town
    }
    deriving (Show)

-- | Parse a Int
parseInt :: Parsec String () Int
parseInt = do
    sign <- option '+' $ oneOf "+-"
    numb <- read <$> many1 digit
    return $ if sign == '+'
        then numb
        else negate numb

-- | Parse a town
parseTown :: Parsec String () Town
parseTown = do
    nID <- parseInt
    void $ char '_'
    nHealthy <- parseInt
    void $ char '_'
    nInfected <- parseInt
    void $ char '_'
    nDeath <- parseInt
    void $ char '_'
    nInfectionRate <- parseInt
    void $ char '_'
    nContagionRate <- parseInt
    void $ char '_'
    nLethalityRate <- parseInt
    void $ char '_'
    nMigrationRate <- parseInt
    return Town
        { townID            = nID
        , townDeath         = nDeath
        , townHealthy       = nHealthy
        , townInfected      = nInfected
        , townInfectionRate = nInfectionRate
        , townContagionRate = nContagionRate
        , townLethalityRate = nLethalityRate
        , townMigrationRate = nMigrationRate }

-- | Parse a world
parseWorld :: Parsec String () World
parseWorld = do
    nRound <- parseInt
    void $ char ';'
    nTownID <- parseInt
    void $ char ';'
    towns <- parseTown `sepBy` char ';'
    let nTowns = length towns
    if nTowns < nTownID
        then let nExpected   = (nTownID - nTowns) in
            fail $ "expected at least " ++ show nExpected ++ " more town(s)"
        else return World
            { worldRound  = nRound
            , worldTownID = nTownID
            , worldTowns  = towns }

-- | Update a town
updateTown :: World -> Town -> String
updateTown world town = take 3 $ lastRound
                   ++ prepareForReproduction
                   ++ decreaseInfected
                   ++ decreaseMigration
                   ++ decreaseInfection
                   ++ decreaseContagion
                   ++ decreaseLethality
                   ++ decreaseWorldWide
  where
    -- | The current round number
    nRound         = worldRound world
    -- | The current number of infected
    nInfected      = townInfected town
    -- | The current lethality rate
    nLethalityRate = townLethalityRate town
    -- | The current migration rate
    nMigrationRate = townMigrationRate town
    -- | The current infection rate
    nInfectionRate = townInfectionRate town
    -- | The current contagion rate
    nContagionRate = townContagionRate town
    -- | What to do on the last round
    lastRound
        | nRound == 50 = "CCC"
        | otherwise    = ""
    -- | What to do in order to prepare for reproduction
    prepareForReproduction
        | (nRound+1) `mod` 5 == 0 = decreaseInfected
        | otherwise               = ""
    -- | What to do in order to decrease infected
    decreaseInfected
        | nInfected > 25 = "CCC"
        | nInfected > 15 = "CC"
        | nInfected > 5  = "C"
        | otherwise      = ""
    -- | What to do in order to decrease lethality
    decreaseLethality
        | nLethalityRate > 4 = "I"
        | otherwise          = ""
    -- | What to do in order to decrease migration
    decreaseMigration
        | nMigrationRate > 0 = "B"
        | otherwise          = ""
    -- | What to do in order to decrease infection
    decreaseInfection
        | nInfectionRate > 0 = "M"
        | otherwise          = ""
    -- | What to do in order to decrease contagion
    decreaseContagion
        | nContagionRate > 4 = "E"
        | otherwise          = ""
    -- | What to do if everything else has been taken care of
    decreaseWorldWide = "PPP"

-- | Update a world
updateWorld :: World -> Maybe String
updateWorld world = updateTown world <$> town
  where
    town          = find ((==worldTownID world) . townID) (worldTowns world)

-- | Main program entry point
main :: IO ()
main = do
    cmds <- concat <$> getArgs
    case parse parseWorld "stdin" cmds of
        Left err    -> print err >> exitFailure
        Right world -> case updateWorld world of
            Just cmd -> putStrLn cmd
            Nothing  -> putStrLn "Failed to update world!" >> exitFailure

run with: runhaskell PureBot.hs

\$\endgroup\$
5
  • \$\begingroup\$ Wow, what technical purity! I like how you interpret the P command. \$\endgroup\$
    – busukxuan
    Jan 28, 2016 at 9:34
  • \$\begingroup\$ I just installed Haskell 7.10.3, and when I try to run your bot, it waits indefinitely. I tried with this : runhaskell.exe PureBot.hs 1;0;0_97_3_0_2_5_15_5;1_97_3_0_2_5_15_5. Is there anything more I need to do before running it? \$\endgroup\$
    – Thrax
    Jan 28, 2016 at 10:22
  • \$\begingroup\$ @Thrax Oh, sorry. I thought you passed the commands through stdin... If it doesn't I'll change the program. \$\endgroup\$
    – yyny
    Jan 28, 2016 at 11:06
  • \$\begingroup\$ The commands are passed as arguments. I'll do next run after you have updated your bot. \$\endgroup\$
    – Thrax
    Jan 28, 2016 at 11:08
  • \$\begingroup\$ @Thrax In that case it should work now. \$\endgroup\$
    – yyny
    Jan 28, 2016 at 11:12
7
\$\begingroup\$

Infected Town, Java

Infected town doesn't care if people are infested as long as they don't die. It's why it will decrease the local lethality rate as much as possible.

When the lethality rate is already very low, it use its remaining actions to increase the global lethality rate before decreasing it's own.

Since it tries to be the biggest town around, the immigration balance can only be negative, so its first action is to close the borders.

During the last turn, the lethality rate has no effect and the ranking is done on the number of sane people in the town, so it cures 30 people and hopes that it will be enough.

import java.util.ArrayList;
import java.util.List;

public class InfectedTown {

    int playerID;
    State thisState;

    public static void main(String[] args){
        new InfectedTown().sleep(args[0].split(";"));
    }

    private void sleep(String[] args) {
        // Parse arguments
        int round = Integer.parseInt(args[0]);
        playerID = Integer.parseInt(args[1]);

        for (int i = 2; i < args.length; i++){
            thisState = new State(args[i]);
            if(thisState.isMine()){
                break;
            }
        }

        // Special actions on turn 1 and 50.
        String action="";
        if(round == 1){
            action = "B";
        } else if(round == 50){
            action="CCC";
        } 

        while(action.length()<3){
            if(thisState.lethalityRate<=2 && action.length()<2){
                // We still have at least one action: lets increase the 
                // lethality rate for everyone, we will decrease it with our 
                // remaining actions.
                action+="W";
                thisState.lethalityRate+=2;
            } else if (thisState.lethalityRate>=4 
                    ||(thisState.lethalityRate>0 && action.length()==2)) {
                // Don't let people die!
                action+="I";
                thisState.lethalityRate-=4;
            } else {
                // Nothing better to do, lets distract other towns by  
                // increasing some useless values
                action+="D";
            }
        }

       System.out.println(action);
    }

    private class State {
        public int ownerId;
        public int lethalityRate;

        public State(String string) {
            String[] args = string.split("_");
            ownerId = Integer.parseInt(args[0]);
            lethalityRate = Integer.parseInt(args[6]);
        }

        public boolean isMine(){
            return ownerId == playerID;
        }
    }
}
\$\endgroup\$
0
5
\$\begingroup\$

CullBot, Python 3

Pretty much the standard self-protection bot that closes borders and tries to lower infection rate in the town. It does so by culling animal vectors (since infected people have no effect on infection rate it must have something to do with non-human vectors; basically this is "Research microbiology"). Occasionally it "culls" infected humans too... You know, AI makes mistakes too...

# Parsing code
from sys import argv

args = argv[1].split(";")

n = int(args[0])
pid = int(args[1])
dic = ["pid","healthy","infected","dead","infection","contagion","lethality","migration"]
players = []
for p in args[2:]:
    players += [{dic[i]:int(p.split("_")[i]) for i in range(len(p.split("_")))}]
    if int(p.split("_")[0]) == pid:
        me = players[-1]

# Bot code

actions = ""
nextInfected = me["infected"]*me["contagion"]/100 + me["infection"] + me["infected"] - me["infected"]*me["lethality"]/100
if n%5 == 4:
    nextInfected *= 1.5

if n == 1:
    actions += "BM"
    if nextInfected*1.3 > 10:
        actions += "C"
    elif me["infection"] > 6:
        actions += "M"
    elif me["infection"] > 4:
        actions += "V"
    else:
        actions += "E"
    print(actions)
    exit()
elif n == 50:
    print("CCC")
    exit()


if nextInfected*1.2 > 30:
    if me["infected"] >= 23:
        actions += "Q"
        me["infected"] -= 30
    else:
        actions += "C"
        me["infected"] -= 10
elif me["infection"] > 0:
    actions += "M"
    me["infection"] -= 4
elif me["contagion"] >= 6:
    actions += "E"
    me["contagion"] -= 8
elif me["infected"] > 0:
    actions += "C"
    me["infected"] -= 10
else:
    actions += "E"
    me["contagion"] -= 8

if me["infection"] >= 3:
    actions += "M"
    me["infection"] -= 4
elif me["infected"] >= 7 :
    actions += "C"
    me["infected"] -= 10
elif me["infection"] > 0 and me["contagion"] >= 3:
    actions += "V"
    me["infection"] -= 1
    me["contagion"] -= 4
elif me["contagion"] >= 6:
    actions += "E"
    me["contagion"] -= 8
elif me["infection"] > 0:
    actions += "M"
    me["infection"] -= 4
elif me["infected"] > 0:
    actions += "C"
    me["infected"] -= 10
else:
    actions += "E"
    me["contagion"] -= 8

if me["infection"] >= 3:
    actions += "M"
    me["infection"] -= 4
elif me["infected"] >= 7 :
    actions += "C"
    me["infected"] -= 10
elif me["infection"] > 0 and me["contagion"] >= 3:
    actions += "V"
    me["infection"] -= 1
    me["contagion"] -= 4
elif me["contagion"] >= 6:
    actions += "E"
    me["contagion"] -= 8
elif me["infection"] > 0:
    actions += "M"
    me["infection"] -= 4
elif me["infected"] > 0:
    actions += "C"
    me["infected"] -= 10
else:
    actions += "E"
    me["contagion"] -= 8

if actions[-2:] == "VV":
    actions = actions[0] + "ME"
print(actions)
\$\endgroup\$
5
  • 1
    \$\begingroup\$ I'm not a Python guy, so I could be doing this wrong, but running this in Python 3.4 gives me "NameError: name 'dictionary' is not defined" on line 9. \$\endgroup\$
    – Mwr247
    Jan 26, 2016 at 15:18
  • \$\begingroup\$ @Mwr247 Thanks, turns out I was totally out of my mind when I wrote the parsing code... There were a lot more problems than that. \$\endgroup\$
    – busukxuan
    Jan 26, 2016 at 15:51
  • \$\begingroup\$ Now it gives "TypeError: 'list' object cannot be interpreted as an integer" on line 11 \$\endgroup\$
    – Mwr247
    Jan 26, 2016 at 15:53
  • \$\begingroup\$ Now it works =) \$\endgroup\$
    – Mwr247
    Jan 26, 2016 at 16:00
  • \$\begingroup\$ @Mwr247 Lol! I thought I fixed that, but I didn't copy and paste the new code so I guess I missed that one. I tested, now it should be running fine. Unless I misunderstood the I/O rules somehow. \$\endgroup\$
    – busukxuan
    Jan 26, 2016 at 16:01
5
+100
\$\begingroup\$

EvilBot, Java

EvilBot doesn't care about curing people. As long as they stay alive (kinda). Tries to make the rest of the world sick.

In my local testing, BlunderBot was doing much better until I also introduced EvilBot. Seems to shake things up a bit.

import java.util.ArrayList;
import java.util.List;

public class EvilBot {

int round;
int phase;
int playerID;
int thisTownID;

List<State> states;
List<State> otherStates;

State thisState;
String action = "";
int cc=0; // command count

public static void main(String[] args){
    new EvilBot().sleep(args[0].split(";"));
}

private void action(String newAction) {
    action += newAction;
    cc+= newAction.length();
    if (cc>=3) {
        System.out.println(action.substring(0, 3));
        System.exit(0);;
    }
}
private void sleep(String[] args) {

    round = Integer.parseInt(args[0]);
    thisTownID = Integer.parseInt(args[1]);

    states = new ArrayList<>();
    otherStates = new ArrayList<>();

    for (int i = 2; i < args.length; i++){
        states.add(new State(args[i]));
    }

    for (State state : states){
        if (state.isMine()) {
            thisState = state;
        } else {
            otherStates.add(state);
        }
    }

    // Round specific commands
    if (round == 1 )                                { action("B");   }
    if (round == 50)                                { action("CCC"); }

    for (int i=0;i<3;i++){
        if (thisState.getLethalityRate() >= 4)  { action("I"); thisState.lethalityRate -= 4;}
    }

    // Nothing else to do, cause trouble.
    action("DWT");
}


private class State {

    private final int ownerId;
    private int healthy;
    private int infected;
    private int dead;
    private int infectionRate;
    private int contagionRate;
    private int lethalityRate;
    private int migrationRate;

    public State(String string) {
        String[] args = string.split("_");
        ownerId = Integer.parseInt(args[0]);
        healthy = Integer.parseInt(args[1]);
        infected = Integer.parseInt(args[2]);
        dead = Integer.parseInt(args[3]);
        infectionRate = Integer.parseInt(args[4]);
        contagionRate = Integer.parseInt(args[5]);
        lethalityRate = Integer.parseInt(args[6]);
        migrationRate = Integer.parseInt(args[7]);
    }

    public int getOwnerId() {
        return ownerId;
    }

    public int getHealthy() {
        return healthy;
    }

    public int getInfected() {
        return infected;
    }

    public int getDead() {
        return dead;
    }

    public int getInfectionRate() {
        return infectionRate;
    }

    public int getContagionRate() {
        return contagionRate;
    }

    public int getLethalityRate() {
        return lethalityRate;
    }

    public int getMigrationRate() {
        return migrationRate;
    }

    public boolean isMine(){
        return getOwnerId() == thisTownID;
    }

}

}
\$\endgroup\$
5
\$\begingroup\$

Weapon of Mass Dissemination

public class WMDbot{
    public static void main(String[]a){
        System.out.println("WMD");
    }
}

The WMD bot is a jerk: keeps its own infection rate low and raises everyone else's.

Bot constructed purely for the acronym, likely not a strong contender, but will make the competitive field a little more...interesting. Code borrowed from TheCure and just altered its action string.

\$\endgroup\$
7
  • \$\begingroup\$ Technically you've also altered the class name ;P \$\endgroup\$ Jan 26, 2016 at 14:52
  • \$\begingroup\$ @DenhamCoote: Please don't go around mass-adding language tags. If you're going to edit a post, make sure it's something more significant (grammar, formatting, etc). Thanks. \$\endgroup\$
    – Zach Gates
    Feb 5, 2016 at 16:29
  • \$\begingroup\$ Oh? I once had that as the only edit to one of my posts - I was just following someone else's lead... \$\endgroup\$ Feb 5, 2016 at 16:32
  • \$\begingroup\$ @DenhamCoote It's one of those "easy cheap edits" that adds nothing, but which aren't actually forbidden. Doing a bunch of them gets spammy. \$\endgroup\$ Feb 5, 2016 at 16:35
  • \$\begingroup\$ Not sure what you mean by 'cheap' - It adds to the readability, for me... This challenge has a lot more code to read than a normal golfing challenge, and I therefore thought the syntax highlighting would be welcome. It's not like I'm doing this for points, I just happened to have enjoyed this challenge. \$\endgroup\$ Feb 5, 2016 at 16:38
5
\$\begingroup\$

Triage, Java

import java.util.ArrayList;
import java.util.List;

public class Triage {

    int round;
    int phase;
    int playerID;

    List<State> states;
    List<State> otherStates;

    State thisState;

    public static void main(String[] args){
        new Triage().sleep(args[0].split(";"));
    }

    private void sleep(String[] args) {

        round = Integer.parseInt(args[0]);
        playerID = Integer.parseInt(args[1]);

        states = new ArrayList<>();
        otherStates = new ArrayList<>();

        for (int i = 2; i < args.length; i++){
            states.add(new State(args[i]));
        }

        for (State state : states){
            if (state.isMine()) {
                thisState = state;
            } else {
                otherStates.add(state);
            }
        }

        if (round == 50) {
          System.out.println("CCC");
          return;
        }

        String output = "";

        while( thisState.lethalityRate >= 4) {
          output += "I";
          thisState.lethalityRate -= 4;
        }

        while( thisState.lethalityRate > 0) {
          output += "V";
          thisState.lethalityRate -= 2;
          thisState.contagionRate -= 4;
          thisState.infectionRate -= 1;
        }

        while( thisState.contagionRate >= 8) {
          output += "E";
          thisState.contagionRate -= 8;
        }

        while( thisState.contagionRate > 0) {
          output += "V";
          thisState.lethalityRate -= 2;
          thisState.contagionRate -= 4;
          thisState.infectionRate -= 1;
        }

        while( thisState.infectionRate > 0) {
          output += "M";
          thisState.infectionRate -= 4;
        }

        while( output.length() < 3) {
          output += "C";
        }

        System.out.println(output.substring(0,3));

    }

    private class State {

        private final int ownerId;
        public int sane;
        public int infected;
        public int dead;
        public int infectionRate;
        public int contagionRate;
        public int lethalityRate;
        public int migrationRate;

        public State(String string) {
            String[] args = string.split("_");
            ownerId = Integer.parseInt(args[0]);
            sane = Integer.parseInt(args[1]);
            infected = Integer.parseInt(args[2]);
            dead = Integer.parseInt(args[3]);
            infectionRate = Integer.parseInt(args[4]);
            contagionRate = Integer.parseInt(args[5]);
            lethalityRate = Integer.parseInt(args[6]);
            migrationRate = Integer.parseInt(args[7]);
        }

        public int getOwnerId() {
            return ownerId;
        }

        public boolean isMine(){
            return getOwnerId() == playerID;
        }

    }

}

First keeps its citizens alive, then keeps them from infecting others, then cures them.

Mooch, Java

import java.util.ArrayList;
import java.util.List;

public class Mooch {

    int round;
    int phase;
    int playerID;

    List<State> states;
    List<State> otherStates;

    State thisState;

    public static void main(String[] args){
        new Mooch().sleep(args[0].split(";"));
    }

    private void sleep(String[] args) {

        round = Integer.parseInt(args[0]);
        playerID = Integer.parseInt(args[1]);

        states = new ArrayList<>();
        otherStates = new ArrayList<>();

        for (int i = 2; i < args.length; i++){
            states.add(new State(args[i]));
        }

        for (State state : states){
            if (state.isMine()) {
                thisState = state;
            } else {
                otherStates.add(state);
            }
        }

        if (round == 50) {
          System.out.println("CCC");
          return;
        }

        String output = "";

        while( thisState.migrationRate < 100) {
          output += "O";
          thisState.migrationRate += 10;
        }

        while( thisState.lethalityRate >= 4) {
          output += "I";
          thisState.lethalityRate -= 4;
        }

        while( thisState.lethalityRate > 0) {
          output += "V";
          thisState.lethalityRate -= 2;
          thisState.contagionRate -= 4;
          thisState.infectionRate -= 1;
        }

        while( thisState.contagionRate >= 8) {
          output += "E";
          thisState.contagionRate -= 8;
        }

        while( thisState.contagionRate > 0) {
          output += "V";
          thisState.lethalityRate -= 2;
          thisState.contagionRate -= 4;
          thisState.infectionRate -= 1;
        }

        while( thisState.infectionRate > 0) {
          output += "M";
          thisState.infectionRate -= 4;
        }

        while( output.length() < 3) {
          output += "C";
        }

        System.out.println(output.substring(0,3));

    }

    private class State {

        private final int ownerId;
        public int sane;
        public int infected;
        public int dead;
        public int infectionRate;
        public int contagionRate;
        public int lethalityRate;
        public int migrationRate;

        public State(String string) {
            String[] args = string.split("_");
            ownerId = Integer.parseInt(args[0]);
            sane = Integer.parseInt(args[1]);
            infected = Integer.parseInt(args[2]);
            dead = Integer.parseInt(args[3]);
            infectionRate = Integer.parseInt(args[4]);
            contagionRate = Integer.parseInt(args[5]);
            lethalityRate = Integer.parseInt(args[6]);
            migrationRate = Integer.parseInt(args[7]);
        }

        public int getOwnerId() {
            return ownerId;
        }

        public boolean isMine(){
            return getOwnerId() == playerID;
        }

    }

}

The same as Triage, except it starts off by completely opening its borders. This ensures a giant perpetual population of infected, inconveniencing the other bots and potentially serving as a tie-breaker.

\$\endgroup\$
4
  • \$\begingroup\$ Triage keeps giving Family Values a run for it's money. Mooch, on the other hand, keeps building up a scary large army of sick people. Well done! \$\endgroup\$
    – Mwr247
    Jan 26, 2016 at 4:02
  • \$\begingroup\$ isnt the moochbot trying to keep everyone uninfected? Doesn´t thisState.x modify the State value and then the game changes it again from the string giving you double the effect? Great idea on thr CCC in the last round though \$\endgroup\$
    – Eumel
    Jan 26, 2016 at 9:18
  • \$\begingroup\$ Understood the code now and found my second question to be pretty stupid \$\endgroup\$
    – Eumel
    Jan 26, 2016 at 11:02
  • \$\begingroup\$ Moochbot does eventually try to create a healthy population, but open borders+zero lethality ensures that the infected population will grow much faster. \$\endgroup\$
    – histocrat
    Jan 26, 2016 at 13:29
4
\$\begingroup\$

InfectedHaven, Python 3

A safehaven for the infected with closed borders. Tries to minimize lethality. If minimized, tries to increase lethality in other states to "benefit" the local infected.

# parsing code
from sys import argv
args = argv[1].split(";")

n = int(args[0])
pid = int(args[1])
dic = ["pid","healthy","infected","dead","infection","contagion","lethality","migration"]
players = []
for p in args[2:]:
    players += [{dic[i]:int(p.split("_")[i]) for i in range(len(p.split("_")))}]
    if int(p.split("_")[0]) == pid:
        me = players[-1]

# bot code

actions =""

if n == 50:
    print("CCC")
    exit()
elif n == 1:
    actions += "B"
    if me["lethality"] <= 6:
        actions += "WI"
    else:
        actions += "II"
    print(actions)
    exit()

if me["lethality"] >= 9:
    actions += "III"
elif me["lethality"] >= 3:
    actions += "WII"
else:
    actions += "WWI"
print(actions)
\$\endgroup\$
3
  • \$\begingroup\$ The modification you made will be taken in account for the next run. It will still not compete in the second run, since your strategy in to made a Safe Haven for Infected. Very interesting nonetheless! \$\endgroup\$
    – Thrax
    Jan 28, 2016 at 8:53
  • 2
    \$\begingroup\$ @Thrax Lol thanks, it's not really a strategy. I just thought those infected will likely be prejudiced or discriminated by the healthy, so in a chaotic world this would likely catalyze a formation of a "for fellow infected" state. To be honest this was a just-for-fun bot, but then I saw a little potential in it so I submitted. \$\endgroup\$
    – busukxuan
    Jan 28, 2016 at 9:31
  • \$\begingroup\$ @Thrax sorry if this is inconvenient, but I just found out I miscalculated the conditions at the bottom so I updated again. \$\endgroup\$
    – busukxuan
    Jan 28, 2016 at 11:11
4
\$\begingroup\$

Graymalkin, Java

Graymalkin's primary focus is reducing the infection rate to 0 and growing its healthy population. It doesn't believe in quarantines... except from the outside world of course.

My first post - critique welcome. :)

import java.util.ArrayList;
import java.util.List;

public class Graymalkin {

    int round;
    int phase;
    int playerID;
    int thisTownID;

    List<State> states;
    List<State> otherStates;

    State thisState;

    public static void main(String[] args) {
        new Graymalkin().sleep(args[0].split(";"));
    }

    private void sleep(String[] args) {

        round = Integer.parseInt(args[0]);
        playerID = Integer.parseInt(args[1]);

        states = new ArrayList<>();
        otherStates = new ArrayList<>();

        for (int i = 2; i < args.length; i++) {
            states.add(new State(args[i]));
        }

        for (State state : states) {
            if (state.isMine()) {
                thisState = state;
            } else {
                otherStates.add(state);
            }
        }

        if (round == 50) {
            System.out.println("CCC");
            return;
        }

        String out = "";

        if (round == 1) {
            out += "B";
        }

        if (thisState.infectionRate < 10 && thisState.infected >= 10) {
            out += "C";
            thisState.infected -= 10;
        }

        while (thisState.infectionRate >= 4) {
            out += "M";
            thisState.infectionRate -= 4;
        }

        while (thisState.infectionRate > 0) {
            out += "V";
            thisState.infectionRate -= 1;
        }

        while (out.length() < 3) {
            if (thisState.infected > 0) {
                out += "C";
                thisState.infected -= 10;
            } else if (thisState.contagionRate > 0) {
                out += "E";
                thisState.contagionRate -= 8;
            } else if (thisState.lethalityRate > 0) {
                out += "I";
                thisState.lethalityRate -= 4;
            } else {
                out += "N";
            }
        }

        System.out.println(out.substring(0, 3));
    }

    private class State {

        private final int ownerId;
        private int sane;
        private int infected;
        private int dead;
        private int infectionRate;
        private int contagionRate;
        private int lethalityRate;
        private int migrationRate;

        public State(String string) {
            String[] args = string.split("_");
            ownerId = Integer.parseInt(args[0]);
            sane = Integer.parseInt(args[1]);
            infected = Integer.parseInt(args[2]);
            dead = Integer.parseInt(args[3]);
            infectionRate = Integer.parseInt(args[4]);
            contagionRate = Integer.parseInt(args[5]);
            lethalityRate = Integer.parseInt(args[6]);
            migrationRate = Integer.parseInt(args[7]);
        }

        public int getOwnerId() {
            return ownerId;
        }

        public int getSane() {
            return sane;
        }

        public int getInfected() {
            return infected;
        }

        public int getDead() {
            return dead;
        }

        public int getInfectionRate() {
            return infectionRate;
        }

        public int getContagionRate() {
            return contagionRate;
        }

        public int getLethalityRate() {
            return lethalityRate;
        }

        public int getMigrationRate() {
            return migrationRate;
        }

        public boolean isMine() {
            return getOwnerId() == playerID;
        }
    }
}
\$\endgroup\$
1
  • \$\begingroup\$ @Thrax it looks like my bot wasn't included in your most recent run. I'm curious to see how it does! \$\endgroup\$ Jan 28, 2016 at 14:30
4
\$\begingroup\$

Crossroads, Python2

Crossroads is a democratic nation with a focus on futuristic scientific values. Like most democracies, most decisions are made by unscientifically-trained, selfish, and dysfunctional committees, which frequently make very strange and poor--apparently random, even--decisions. However, the government is ultimately working for the common good of its people and the human race.

import sys
import random
import itertools
def sample_wr(population, k):
    "Chooses k random elements (with replacement) from a population"
    n = len(population)
    _random, _int = random.random, int  # speed hack
    return [population[_int(_random() * n)] for i in itertools.repeat(None, k)]
a = sys.argv[1].split(';')
round = int(a[0])
myid = a[1]
players = {}
Sane = 0
Infected = 1
Dead = 2
InfectionRate = 3
ContagionRate = 4
LethalityRate = 5
MigrationRate = 6
worldpopulation = 0
for i in range(2,len(a)):
    b = a[i].split('_')
    players[b[0]]=map(int,b[1:])
    worldpopulation += (int(b[1])+int(b[2]))*int(b[7])/100
output = ""
if round == 1:
    output="BM"
    if players[myid][Infected]>6: output+="C"
    else: output+="E"
if round == 50: 
    if players[myid][Infected] > 20: output = "CCC"
    elif players[myid][Infected]> 6: output = "CTC"
    else: output = "TTC"
if round == 48 and players[myid][Infected] > 45 and players[myid][InfectionRate]>12:
    output = "MMM"
if round == 49 and players[myid][Infected] > 30:
    output = "CCC"
if (round+1)%5==0:
    if players[myid][Sane]==0 or players[myid][Infected]/players[myid][Sane] > 2: output+="I"*(players[myid][LethalityRate]/4)
    output+="M"*(players[myid][InfectionRate]/4)
    output+="C"*max((players[myid][Infected]/10),1)
if players[myid][InfectionRate] < 8 and players[myid][ContagionRate] < 20 and players[myid][Sane]+min(players[myid][Infected]/5,60)>players[myid][Infected] and (round+2)%5==0:
    output+="C"*max((players[myid][Infected]/10),1)
    players[myid][Infected] -= min(max((players[myid][Infected]/10),1)*10,players[myid][Infected])
if players[myid][Sane] > players[myid][Infected] > 30: 
    output +="Q"
    players[myid][Infected] -= min(players[myid][Infected],30)
if players[myid][Sane] > players[myid][Infected] > 20:
    output+="CC"
    players[myid][Infected] -= min(players[myid][Infected],20)
if (players[myid][Sane] > 2*players[myid][Infected] > 20):
    output+="C"
    players[myid][Infected] -= min(players[myid][Infected],10)
if round <= 5 and players[myid][Infected] > 10:
    output+="C"
    players[myid][Infected] -= min(players[myid][Infected],10)
if 25 <= players[myid][Infected] < 40 and players[myid][InfectionRate]<10:# and players[myid][ContagionRate]*(players[myid][Infected]-20)/100 < 10:
    output+="CCC"

if players[myid][InfectionRate]-players[myid][ContagionRate]>10: output+="M"
if players[myid][ContagionRate]-players[myid][InfectionRate]>20: output+="E"
population = []
population +=["I" for i in range(int(1.15**players[myid][LethalityRate]))]
if players[myid][Sane]<10 or players[myid][Infected]-players[myid][Sane]>10: population+=["I" if players[myid][LethalityRate]>8 else "V" for i in range(players[myid][InfectionRate])]
if players[myid][Sane]+players[myid][Infected]>10 and (players[myid][Sane]>15 or players[myid][LethalityRate]<10): population += ["M" if players[myid][InfectionRate] > 6 else "V" for i in range(2*max(players[myid][InfectionRate]*players[myid][Sane]/100,int((1.15+0.002*(50-round))**min(50,players[myid][InfectionRate]))))]
if players[myid][Sane]+players[myid][Infected]>10 and (players[myid][Sane]>15 or players[myid][LethalityRate]<10): population += ["E" if players[myid][ContagionRate] > 10 else "V" for i in range(max(min(players[myid][Sane],players[myid][ContagionRate]*players[myid][Infected]/100),int(1.15**min(50,players[myid][ContagionRate]))))]
if players[myid][InfectionRate]+players[myid][ContagionRate]<15: population += ["C" for i in range(players[myid][Infected])]
if players[myid][Infected] < 10: population += ["WV" for i in range(int(1.05**round))]
output += ''.join(sample_wr(population,3))
print output[:3]

4 runs involving everyone:

1. Crossroads (36, 12, 185)
2. InfectedTown (14, 1040, 510)
3. InfectedHaven (14, 977, 481)
4. Triage (14, 668, 531)
5. ZombieState (14, 523, 393)

1. AllOrNothing (541, 0, 312)
2. InfectedTown (30, 1125, 574)
3. InfectedHaven (30, 1020, 612)
4. WICKED (30, 732, 622)
5. Triage (30, 553, 554)
6. Mooch (30, 80, 240)
7. Crossroads (25, 0, 162)

1. AllOrNothing (846, 12, 241)
2. Crossroads (440, 15, 146)
3. FamilyValues (388, 34, 201)
4. Salt (170, 0, 176)
5. InfectedHaven (18, 1290, 664)

1. Crossroads (80, 14, 365)
2. InfectedHaven (30, 1596, 603)
3. InfectedTown (30, 1286, 576)
4. Triage (30, 1084, 412)
5. WICKED (18, 1286, 578)

4 runs without "doomsday bots":

1. Salt (6790, 0, 58)
2. FamilyValues (6697, 7, 9)
3. Crossroads (6616, 4, 16)
4. PureBot (6454, 0, 50)
5. Piecemeal (6260, 0, 111)

1. Crossroads (6970, 0, 39)
2. PureBot (6642, 0, 77)
3. CureThenQuarantine (6350, 2, 51)
4. FamilyValues (6153, 13, 21)
5. Piecemeal (5964, 4, 132)

1. PureBot (6142, 0, 34)
2. CureThenQuarantine (6010, 4, 75)
3. Piecemeal (5971, 4, 72)
4. CullBot (5409, 8, 115)
5. Crossroads (5129, 0, 27)

1. FamilyValues (7277, 12, 26)
2. Crossroads (6544, 4, 32)
3. Salt (5830, 26, 103)
4. Piecemeal (5757, 8, 164)
5. PureBot (5657, 8, 127)

EDIT: Having seen CullBot's successful "ignore lethality and focus on keeping folks healthy" strategy, I have increased the priority of reducing infection and contagion and curing over reducing lethality, while not abandoning the essential decision-by-committee random flair.

EDIT2: It turns out ignoring lethality with lots of terrorists around is bad. priority for lethality reduction increased again, now scaling with the lethality rate. Also fixed some other poor decisions, like opening and closing borders on the same turn, and increased the threshold for quarantine, preferring to cure instead where possible.

EDIT3: A couple of minor priority adjustments to handle situations that weren't being handled. Now it scores near the top whether doomsdays are included or not, thought Salt beats it in both cases. My vote is currently with Salt for winner of this thing.

EDIT4: Improved timing and efficacity of curing.

EDIT5: Removed the stuff that messes with migration, since it never hits zero population anymore, and some more special cases for curing.

EDIT6: Increase priority of lowering infection rate in early game. Remove commented lines. I did not update the results of test runs, but it now scores considerably higher in non-doomsday runs (beating out FamilyValues, but not TrumpBot)

EDIT7: Cap infection/contagion rate exponent at 50 to prevent high memory usage.

\$\endgroup\$
8
  • \$\begingroup\$ Wait... Is Israel modeled after the WWZ Jerusalem with very tall walls? \$\endgroup\$
    – busukxuan
    Jan 27, 2016 at 6:36
  • \$\begingroup\$ @busukxuan that was the inspiration yes, except that this Israel more resembles the Jerusalem in the movie (rapidly overrun by infected), since it basically opens it borders wide a la Mooch. The original plan was for it to mostly do 'P', but it was not an effective strategy. \$\endgroup\$
    – quintopia
    Jan 27, 2016 at 6:50
  • \$\begingroup\$ Hm... It seems dear CullBot couldn't keep up anymore when there are more bots trying to increase infection. \$\endgroup\$
    – busukxuan
    Jan 27, 2016 at 7:24
  • \$\begingroup\$ it does great when i added in a bot to drive down infection (up to turn order randomness) \$\endgroup\$
    – quintopia
    Jan 27, 2016 at 7:39
  • \$\begingroup\$ So basically CullBot is pretty unstable and dependent on the situation. Indeed, I assumed infection containability when I wrote the code. The only fallback was up to 1 quarantine per turn. \$\endgroup\$
    – busukxuan
    Jan 27, 2016 at 7:49
3
\$\begingroup\$

The Keeper, Lua

A KotH done by a fellow french froggy ! I had to be in this contest !

This bot will do anything possible to keep its infection/contagion and lethality rates as low as possible. Its greatest priority is having a lethality near 0. It will then try to guess when it is good to try "importing" more people.

Edit: I assumed what we get via arg was sorted by playerId. It is a wrong assumption, so I added a bubble sort for datas.

input=arg[1]

datas={}
format={"playerID","sane","infected","dead","infection","contagion","lethality","migration"}
i=1
for s in input:gmatch("[^;]+") 
do
  j=1
  if round==nil then round=tonumber(s) 
  elseif me==nil then me=tonumber(s)+1
  else
    table.insert(datas,{})
    for r in s:gmatch("%d+")
    do
      datas[i][format[j]]=tonumber(r)
      j=j+1
    end
    i=i+1
  end
end
for i=#datas-1,1,-1
do
  for j=1,i
  do
    if datas[j].playerID>datas[j+1].playerID
    then
      datas[j],datas[j+1]=datas[j+1],datas[j]
    end
  end
end

-- First, we put ourself in a safe state
if round==1 then print("VVV")os.exit(0)end
if round==50 then print("CCC")os.exit(0)end

actions=""

-- Safety actions first
if datas[me].lethality>2 
then 
  actions=actions.."I"
  datas[me].lethality=datas[me].lethality-4>0 and datas[me].lethality-4 or 0
end

if datas[me].infected>=10
then
  if(datas[me].infection+datas[me].contagion+datas[me].lethality>4)
  then
    actions=actions.."V"
    datas[me].infection=datas[me].infection-1>0 and datas[me].infection-1 or 0
    datas[me].contagion=datas[me].contagion-4>0 and datas[me].contagion-4 or 0
    datas[me].lethality=datas[me].lethality-2>0 and datas[me].lethality-2 or 0
  end
  actions=actions.."C"
  datas[me].sane=datas[me].sane+10
  datas[me].infected=datas[me].infected-10
end

-- We can now try taking some initiatives
while #actions<3
do
  rates={}
  for i=1,#datas
  do
    if i~=me 
    then
      table.insert(rates,(datas[i].infected/datas[i].sane>0 and datas[i].sane or 0)*(datas[i].migration/100))
    end
  end
  rates["total"]=0
  for i=1,#rates
  do
    rates.total=rates.total+rates[i]
  end
  rates.total=(rates.total/#rates)*100


  if datas[me].migration<=15 and datas[me].migration+10>rates.total
  then
    actions=actions.."O"
    datas[me].migration=datas[me].migration+10>0 and datas[me].migration+10 or 0
  elseif (datas[me].sane/datas[me].infected)*100<rates.total
  then
    actions=actions.."B"
    datas[me].migration=datas[me].migration-10>0 and datas[me].migration-10 or 0
  elseif datas[me].infected>=10
  then
    actions=actions.."C"
    datas[me].infected=datas[me].infected-10
  else
    actions=actions.."V"
    datas[me].infection=datas[me].infection-1>0 and datas[me].infection-1 or 0
    datas[me].contagion=datas[me].contagion-4>0 and datas[me].contagion-4 or 0
    datas[me].lethality=datas[me].lethality-2>0 and datas[me].lethality-2 or 0
  end
end
print(actions)
os.exit(0)
\$\endgroup\$
1
  • \$\begingroup\$ @Thrax Oh.. Corrected the source code, now use input=arg[1] instead of input=io.read(). \$\endgroup\$
    – Katenkyo
    Jan 26, 2016 at 10:32
3
\$\begingroup\$

MadScienceBot, Python2

You know what this world needs?

MORE SCIENCE!

How do we get MORE SCIENCE?

WITH BRAINZZ

Only cures people at the last second, couldn't care less about them except on round 50. Tries to be a zombie farm every other round

import sys, copy
import itertools

mults = {'mig_rate': -15, 'let_rate': -15, 'dead': -20, 'inf_rate': -20, 'sane': 0, 'infected': 60, 'con_rate': -30, 'id': 0}
def get_score(player_data):
    score = 0
    for k in player_data:
        score += player_data[k] * mults[k] / 100.
    return score


def add_rates(player_data):
    #Infection
    no_sane_converted = player_data["sane"]*player_data["inf_rate"]/100.
    player_data["infected"] += no_sane_converted
    player_data["sane"] -= no_sane_converted
    #Contagion
    no_sane_converted = player_data["con_rate"]
    player_data["infected"] += no_sane_converted
    player_data["sane"] -= no_sane_converted
    #Extinction
    no_killed = player_data["infected"]*player_data["let_rate"]/100.
    player_data["dead"] += no_killed
    player_data["infected"] -= no_killed

def correct(data):
    if round % 5 == 4:
        data["sane"] += int(data["sane"])/2
        data["infected"] += int(data["infected"])/2
    data["inf_rate"] += 2
    data["con_rate"] += 5
    data["let_rate"] += 5

args = sys.argv[1].split(";")
round = int(args[0])
self_id = int(args[1])
player_data = [map(int, player.split("_"))for player in args[2:]]
player_data = [dict(zip(("id", "sane", "infected", "dead", "inf_rate", "con_rate", "let_rate", "mig_rate"), player)) for player in player_data]
self_data = [player for player in player_data if player["id"] == self_id][0]

f = open("MadScienceBot.txt", "a")
f.write("\n")
f.write(`round`+"\n")
f.write("INPUT: "+`self_data`+"\n")

def m(p): p["inf_rate"] -= 4
def e(p): p["con_rate"] *= 92/100.
def i(p): p["let_rate"] -= 4
def v(p): p["inf_rate"] -= 1; p["con_rate"]-=4;p["let_rate"]-=2
def c(p): x=min(p['infected'], 10); p['infected']-=x; p['sane']+=x
def q(p): x=min(p['infected'], 30); p['infected']-=x; p['dead']+=x
def o(p): p["mig_rate"] += 10
def b(p): p["mig_rate"] -= 10

out = ""
instructions = {"M": m,
                "E": e,
                "I": i,
                "V": v,
                "C": c,
                "Q": q,
                "O": o,
                "B": b}

def run_inst(new_data, inst_id, i):
    inst = instructions[inst_id]
    if i != 2:
        inst(new_data)
        for j in new_data: new_data[j] = max(0, int(new_data[j]))
        #f.write("%s %s %s\n"%(inst_id, get_score(new_data), new_data))
    else:
        inst(new_data)
        for j in new_data: new_data[j] = max(0, int(new_data[j]))
        correct(new_data)
        add_rates(new_data)
        for j in new_data: new_data[j] = max(0, int(new_data[j]))
        #f.write("%s %s %s\n"%(inst_id, get_score(new_data), new_data))
    return new_data

def run_3_insts(self_data, insts):
    new_data = copy.copy(self_data)
    for i, inst in enumerate(insts):
        run_inst(new_data, inst, i)
    return get_score(new_data)

scores = {}
for combo in itertools.permutations(instructions.keys(), 3):
    joined = "".join(combo)
    score = run_3_insts(self_data, joined)
    scores[score] = joined
#print scores
out = scores[max(scores)]

if round == 50:
    out = "CCC"

f.write(out+"\n")
print out
\$\endgroup\$
0
3
\$\begingroup\$

ZombieState, Java

Hey, this is my first post on this site. I basically just took one of the example bots and changed the lines regarding the output.

import java.util.ArrayList;
import java.util.List;

public class ZombieState {

int round;
int phase;
int playerID;
int thisTownID;

List<State> states;
List<State> otherStates;

State thisState;

public static void main(String[] args){
    new ZombieState().sleep(args[0].split(";"));
}

private void sleep(String[] args) {

    round = Integer.parseInt(args[0]);
    thisTownID = Integer.parseInt(args[1]);

    states = new ArrayList<>();
    otherStates = new ArrayList<>();

    for (int i = 2; i < args.length; i++){
        states.add(new State(args[i]));
    }

    for (State state : states){
        if (state.isMine()) {
            thisState = state;
        } else {
            otherStates.add(state);
        }
    }

    StringBuilder sb = new StringBuilder();
    if(round == 1)
        System.out.println("TTT");
    else if(round == 50)
        System.out.println("CCC");
    else
    {
        while(thisState.lethalityRate >= 4)
        {
            sb.append("I");
            thisState.lethalityRate -= 4;
        }
        sb.append("DDD");
        System.out.println(sb.toString().substring(0, 3));
    }
}

private class State {

    private final int ownerId;
    public int sane;
    public int infected;
    public int dead;
    public int infectionRate;
    public int contagionRate;
    public int lethalityRate;
    public int migrationRate;

    public State(String string) {
        String[] args = string.split("_");
        ownerId = Integer.parseInt(args[0]);
        sane = Integer.parseInt(args[1]);
        infected = Integer.parseInt(args[2]);
        dead = Integer.parseInt(args[3]);
        infectionRate = Integer.parseInt(args[4]);
        contagionRate = Integer.parseInt(args[5]);
        lethalityRate = Integer.parseInt(args[6]);
        migrationRate = Integer.parseInt(args[7]);
    }

    public int getOwnerId() {
        return ownerId;
    }

    public boolean isMine(){
        return getOwnerId() == playerID;
    }

}

}

I hope this is ok and the bot did quite well in my own runs. Because who needs the living if you can have 30 healthy and a maximum amount of infected at the end. It starts the game with 3x BioTerrorism to get everything started and trys to keep the local lethality low. If it is less than 4 it trys to up the global infection and contagion rate with Dissemination.

\$\endgroup\$
2
  • \$\begingroup\$ Welcome to PPCG :-) Hope you have a good time here \$\endgroup\$
    – busukxuan
    Jan 26, 2016 at 13:22
  • \$\begingroup\$ This seems to be doing good so far. Welcome to PPCG, and good job! \$\endgroup\$
    – Riker
    Jan 26, 2016 at 23:54
2
\$\begingroup\$

DisseminationBot, Ruby

This bot will Cure as long as 10 or more are left to cure. Next, if the infection rate is at least 4, the bot will decrease it. All other actions are spent increasing the contagion rate, which will not hurt me, because I have no infected left.

#You can copy this code if you want. Not specific to my strategy.
PlayerId = 0
Sane = 1
Infected = 2
Dead = 3
InfectionRate = 4
ContagionRate = 5
LethalityRate = 6
MigrationRate = 7

a = ARGV[0].split ';'
round = a.shift.to_i
my_id = a.shift.to_i
players = a.map{|s|s.split('_').map{|str| str.to_i}}

my_index = players.index{|p|
    p[PlayerId] == my_id
}
me = players[my_index]

#strategy specific code starts here.

commands = ""
commands += 'C' if me[Infected] >= 10
commands += 'C' if me[Infected] >= 20
commands += 'C' if me[Infected] >= 30
commands += 'M' if me[InfectionRate] >= 4 and commands.length < 3
commands += 'D' while commands.length < 3

print commands
$stdout.flush
\$\endgroup\$
2
\$\begingroup\$

XenoBot (Node.js)

XenoBot is afraid of people, his solution to the epidemic is to isolate his population, cure the people who he can, and isolate them when he can't. He doesn't bother with all this warfare nonsense, he's just trying to keep his people alive.

Activate XenoBot like so:

node xenobot.js [data]

Code:

const argv = String(process.argv),
    data = argv.split(";"),
    round = data[0],
    id = Number(data[1]),
    info = data[id + 1].split("_"),
    sane = info[1],
    infected = info[2],
    dead = info[3],
    infectionRate = info[4],
    contagionRate = info[5],
    lethalityRate = info[6],
    migrationRate = info[7]

var moves = 3
function exec(a) {
  process.stdout.write(a)
}
if(migrationRate >= 10) {
  exec("B")
}
if (infectionRate >= 8) {
  exec("MQ")
  moves-=2;
} else if(contagionRate >= 16) {
  exec("EC")
  moves-=2;
} else if(lethalityRate >= 8) {
  exec("IV")
  moves--;
} else {
  exec("B");
  moves--;
}

if (sane / 3 > infected + dead) {
  exec("Q")
  moves--;
}
if(moves > 0) {
  exec("B")
}
\$\endgroup\$
2
\$\begingroup\$

Strategist, Python

This bot is really serious about surviving. He's analysed the possible strategies, and come up with his own winning method. Which he's now going to document in source comments, because he's a nice guy and wants other people to survive, too.

Called with python strategist.py.

import sys
import random
import math


def main():
    id = int(get_player_id(sys.argv[1]))
    stats = get_player_stats(sys.argv[1], id)
    round = int(get_round(sys.argv[1]))

    if id == -1 or stats == None or round == -1:
        # Something is wrong here. RED ALERT! Close all possible entry routes and set 
        # quarantine levels to maximum!
        print("BQQ")
        sys.exit(1)

    if round == 1:
        # remove migration, cure some infected, and remove some danger
        print("BCM")
    elif round % 5 == 4:
        # Rounds 4, 9, 14 etc. One before repopulation. We want as many Healthy and as 
        # few Infected as possible to reproduce. Prioritise curing infected, because that
        # maximises Healthy for reproduction. If that's not possible, quarantine them.
        quarantine = math.ceil(int(stats['infected']) / 30)
        cure = math.ceil(int(stats['infected']) / 10)
        if cure <= 3:
            # we can deal with all our infections within 3 cures
            output = "C" * cure
            for i in range(3 - cure):
                # got moves left? Great, remove some danger.
                output += get_random_science()
            print(output)
        elif quarantine <= 3:
            # we can deal with all our infections within 3 quarantines
            output = "Q" * quarantine
            for i in range(3 - quarantine):
                # got moves left? Great, remove some danger.
                output += get_random_science()
            print(output)
        else:
            # We can't deal with all the infected in one round, so deal with some. Yes, we
            # don't get rid of as many as we could here, but we're about to reproduce so
            # we want Healthies in the next round.
            print("QQC")
    else:
        output = ""
        if int(stats['infected']) <= 10:
            # we can deal with all our infections by curing them
            output += "C"
        elif int(stats['infected']) <= 30:
            # we can deal with all our infections by quarantining them
            output += "Q"
        elif int(stats['infected']) >= int(stats['healthy']) * 0.5:
            # we're getting overrun with infected people, get rid of some
            output = "QCC"

        for i in range(3 - len(output)):
            # if we haven't used all our moves, we can remove some danger factors
            output += get_random_science()

        print(output)


def get_random_science():
    return random.choice(["M", "E", "I", "V"])


def get_player_id(args):
    splat = args.split(";")
    return splat[1] if len(splat) >= 2 else -1


def get_player_stats(args, id):
    splat = args.split(";")
    players_data = [x for x in splat if "_" in x]
    my_data = [y for y in players_data if y.split("_")[0] == str(id)]
    data_splat = my_data[0].split("_")

    if len(data_splat) == 8:
        # Id, Healthy, Infected, Dead, InfRate, ConfRate, LethRate, MigRate
        return {
            'healthy': data_splat[1],
            'infected': data_splat[2],
            'dead': data_splat[3],
            'inf_rate': data_splat[4],
            'conf_rate': data_splat[5],
            'leth_rate': data_splat[6],
            'mig_rate': data_splat[7]
        }
    else:
        return None


def get_round(args):
    splat = args.split(";")
    return splat[0] if len(splat) >= 1 else -1


if __name__ == "__main__":
    main()
\$\endgroup\$
2
\$\begingroup\$

OpenAndClose

Start the game by opening the borders, then let all the sick come. After we have a large sick population (round 30), close the borders and work on curing the sick.

#You can copy this code if you want. Not specific to my strategy.
PlayerId = 0
Healthy = 1
Infected = 2
Dead = 3
InfectionRate = 4
ContagionRate = 5
LethalityRate = 6
MigrationRate = 7

a = ARGV[0].split ';'
round = a.shift.to_i
my_id = a.shift.to_i
players = a.map{|s|s.split('_').map{|str| str.to_i}}

my_index = players.index{|p|
    p[PlayerId] == my_id
}
me = players[my_index]

#strategy specific code starts here.

commands = ""
if round < 30
  commands += me[MigrationRate] == 100 ? (me[InfectionRate] <= 1 ? "V" : "M") : "O"
  commands += me[LethalityRate] <= 2 ? "V" : "I"
  commands += me[ContagionRate] <= 4 ? "V" : "E"
elsif round < 50
  commands += me[MigrationRate] == 0 ? "V" : "B"
  commands += me[LethalityRate] < 20 ? "C" : "I"
  commands += me[ContagionRate] <  5 ? "C" : "E"
else
  commands = "CCC"
end

print commands
$stdout.flush
\$\endgroup\$
2
\$\begingroup\$

Two more Python bots

Israel

It's similar to Mooch, but maybe not quite as good as Mooch, except in rare occasions when it's much better:

import sys
a = sys.argv[1].split(';')
round = int(a[0])
myid = a[1]
players = {}
Sane = 0
Infected = 1
Dead = 2
InfectionRate = 3
ContagionRate = 4
LethalityRate = 5
MigrationRate = 6
for i in range(2,len(a)):
    b = a[i].split('_')
    players[b[0]]=map(int,b[1:])
output=''
if round<=4:output = ["OOO","OOO","OOO","OII"][round-1]
if round==50: output = "CCC"
mycontrate = players[myid][ContagionRate]
myfatrate = players[myid][LethalityRate]
myinfrate = players[myid][InfectionRate]
if myinfrate+mycontrate<5:
    output+="V"
    myfatrate-=2
    if round < 47: 
        output+="I"*(myfatrate/4)
        if myfatrate%4: output+="V"
else:
    if round < 47: 
        output+="I"*(myfatrate/4)
        if myfatrate%4: output+="V"
    output+="M"*(myinfrate/4)
    if round < 47: 
        output+="E"*(mycontrate/4)
output+="CCC"

print output[:3]

Red Cross

Sort of like pacifist, except tries also to keep its own people from dying. Fails miserably at this, but it's nice to have another friendly on the playing field.

import sys
a = sys.argv[1].split(';')
round = int(a[0])
myid = a[1]
players = {}
Sane = 0
Infected = 1
Dead = 2
InfectionRate = 3
ContagionRate = 4
LethalityRate = 5
MigrationRate = 6
for i in range(2,len(a)):
    b = a[i].split('_')
    players[b[0]]=map(int,b[1:])
output="PPPPP"
if round<=4:output = ["OOO","OOO","OOO","OII"][round-1]
elif round==50: output = "CCC"
else: output = output[:2-3*round%5]+"I"+output[2-3*round%5:]
print output[:3]
\$\endgroup\$
2
\$\begingroup\$

Smaug (Python)

I am fire; I am death.

Smaug creates as much death as possible, regardless of where it occurs.

# "I am fire, I am death"
# Smaug has two goals: hoard gold and bring death...
#    and this world seems to be all out of gold

from sys import argv
args = argv[1].split(";")

round = int(args.pop(0))
me = int(args.pop(0))

if round==50: # can't cause more death on the last round, might as well infect
    print('TTT')

def predict_infected(infected, infection_rate, contagion_rate):
    i = infected + infection_rate
    return i + int(i*contagion_rate)

def predict_dead(infected, lethality_rate):
    return int(infected*lethality_rate)

strategies = {'WWW':0, 'WWD':0, 'WDD':0, 'DDD':0}
for player in args:
    player=player.split('_')
    healthy=int(player[1])
    infected=int(player[2])
    infection_rate=int(player[4])
    contagion_rate=int(player[5])/100.
    lethality_rate=int(player[6])/100.

    if round%5==0:
        healthy+=healthy/2
        infected+=infected/2

    pi_old = predict_infected(infected, infection_rate, contagion_rate)
    pd_old = predict_dead(pi_old, lethality_rate)

    for strat in strategies:
        ir_new = infection_rate + 3
        lr_new = lethality_rate + (strat.count('W')*.02) 
        cr_new = contagion_rate + (strat.count('D')*.02) 

        pi_new = predict_infected(infected, ir_new, cr_new)
        pd_new = predict_dead(pi_new, lr_new)

        increase = pd_new - pd_old

        strategies[strat]+=increase

print max(strategies, key=strategies.get)
\$\endgroup\$
2
  • \$\begingroup\$ If you're trying to golf a polyglot, the empty file would be shorter and do exactly what the watcher does (and also, as it happens, exactly what PassiveBot does--the two behave identically), because the interpreter substitutes NNN for an 0 length response. \$\endgroup\$
    – quintopia
    Jan 28, 2016 at 20:58
  • \$\begingroup\$ @quintopia I wasn't trying to, just realized when I typed it that it conveniently worked as a polyglot, but I didn't realize what PassiveBot did, so I'm just gonna delete Watcher (no point in having two identical ones) \$\endgroup\$ Jan 28, 2016 at 21:32
2
\$\begingroup\$

Remove Infected (Python)

Despite all the random logic, I'm pretty it's rare for this to return anything but Q's and C's (preventative measures never seem that helpful). Oh well. Might borrow some of it for another bot, but leaving it in in case it helps.

# Remove as many of it's own infected as possible, preferably by curing, but quarantining if it's getting out of hand
# If not very many can be cured, takes preventative measures (B,E,M, or V)

from sys import argv

CMDS=3
C_RATE=10
E_RATE=.08
M_RATE=4
Q_RATE=30
V_RATE=(1,.04)

def find_me(args):
    for player in args:
        player=player.split('_')
        if int(player[0])==me:
            return player

def actions_available():
    global actions
    if len(actions) < CMDS:
        return True
    else:
        return False

def add_actions(new_actions):
    global actions
    actions = (actions + new_actions)[0:CMDS]

def get_remaining_infected(local_infected):
    global actions
    return local_infected - (Q_RATE*actions.count('Q')) - (C_RATE*actions.count('C'))

def too_many_infected(local_infected):
    max_infected = C_RATE*(CMDS+1) # If we can get down to 10 or less without quarantining, that's good
    if local_infected > max_infected:
        return True
    else: return False

def projection(infection_rate, remaining_infected, action):
    additional_M=0
    additional_E=0
    additional_V=0

    if action == "M":
        additional_M=1
    elif action == "E":
        additional_E=1
    else:
        additional_V=1

    M_level = M_RATE*(actions.count('M')+additional_M)
    E_level = E_RATE*(actions.count('E')+additional_E)
    V_level = (V_RATE[0]*(actions.count('V')+additional_V), V_RATE[1]*(actions.count('V')+additional_V))

    projection = infection_rate - M_level - V_level[0] + (remaining_infected * (contagion_rate - E_level - V_level[1])) 
    return int(projection)

def get_best_action(local_infected):
    global actions
    remaining_infected = get_remaining_infected(local_infected)

    # If we can leave no infected, do so
    if remaining_infected <= C_RATE and remaining_infected >= 0:
        return 'C'

    strategies = {'M':0, 'E':0, 'V':0,'C':min(remaining_infected,C_RATE)}

    pni = int(infection_rate + (remaining_infected*contagion_rate)) # predicted new infected
    strategies['M'] = pni - projection(infection_rate, remaining_infected, 'M')
    strategies['E'] = pni - projection(infection_rate, remaining_infected, 'E')
    strategies['V'] = pni - projection(infection_rate, remaining_infected, 'V')
    # any benefit to including P as an option? 

    #print(strategies)
    max_saved = 'C'
    for strat,saved in strategies.iteritems():
        if saved > strategies[max_saved]:
            max_saved=strat
        elif saved == strategies[max_saved]:
            #prioritize V because of it's extra benefit of reducind lethality_rate
            max_saved=max(strat,max_saved) 

    if strategies[max_saved] <= C_RATE/2:
        # can't save that many, just close borders instead
        selected_action = 'B'
    else: selected_action = max_saved
    return selected_action


args = argv[1].split(";")
round = int(args.pop(0))
me = int(args.pop(0))
actions = ""

my_town = find_me(args)

local_infected = int(my_town[2])
infection_rate = int(my_town[4])
contagion_rate = int(my_town[5])/100.

if round!=50 and too_many_infected(local_infected):
    # Things are getting out of hand, quarantine and consider preventative measures
    actions = ('Q'*(local_infected/Q_RATE))[0:CMDS]

    while actions_available():
        add_actions(get_best_action(local_infected))
else: actions='CCC'

print ''.join(sorted(actions)) # always cure first
\$\endgroup\$
1
  • \$\begingroup\$ @Thrax This bot's been updated \$\endgroup\$ Jan 29, 2016 at 20:05
2
\$\begingroup\$

CureThenQuarantine, Java

The state has instigated a policy of curing those lucky few and then quarantining the remainder of infected persons. Once the infected population is reduced then the focus on reducing local rates and then help reducing the global rates.

The borders are shut to ensure no infected migration into the state.

I have only tested the bot against java and python bots... it seems to hold its own against them. It also seems that my bot behaves similar to CullBot.

public class CureThenQuarantine {
    static int playerID;
    
    public static void main(String[] args)
    {
        State thisState=null;
        
        args = args[0].split(";");
                
        // Parse arguments
        int round = Integer.parseInt(args[0]);
        playerID = Integer.parseInt(args[1]);

        for (int i = 2; i < args.length; i++){
            thisState = new State(args[i]);
            if(thisState.isMine()){
                break;
            }
        }

        String action="";
        if(round == 1) action = "B"; // ensure no migration.
        else if (round == 50 ) action ="CCC"; // not much else we can do so just cure some people.

        // Highest Priority to Curing and then Quarantining infected, but do not perform either action if it would be wasteful.
        if (thisState.infected>9)
        {
            if (thisState.infected<19) action+="C";
            else if (thisState.infected<29) action+="CC";
            else if (thisState.infected<39) action+="CCC";
            else if (thisState.infected<49) action+="CQ";
            else if (thisState.infected<59) action+="CCQ";
            else if (thisState.infected<79) action+="CQQ";
            else action+="QQQ";
        }
        
        // Next priority is to reduce infection rate
        if (thisState.infectionRate>8) action+="MMM";
        else if (thisState.infectionRate>4) action+="MM";
        else if (thisState.infectionRate>1) action+="M";
        else if (thisState.infectionRate>0) action+="V";
        
        // then reduce contagion rate
        if (thisState.contagionRate>16) action+="EEE";
        else if (thisState.contagionRate>8) action+="EE";
        else if (thisState.contagionRate>1) action+="E";
        else if (thisState.contagionRate>0) action+="V";
        
        // and least priority is lethality rate... since we are only going to quarantine infected persons anyway.
        if (thisState.lethalityRate>8) action+="III";
        else if (thisState.lethalityRate>4) action+="II";
        else if (thisState.lethalityRate>1) action+="I";
        else if (thisState.lethalityRate>0) action+="V";
        
        // and if we have managed to clean up our state then we help others states.
        action+="PPP";

        System.out.println(action.substring(0,3));
    }

    static private class State {
        public int ownerId;
        public int lethalityRate;
        public int healthy;
        public int infected;
        public int infectionRate;
        public int contagionRate;

        public State(String string) {
            String[] args = string.split("_");
            ownerId = Integer.parseInt(args[0]);
            healthy = Integer.parseInt(args[1]);
            infected = Integer.parseInt(args[2]);
            infectionRate = Integer.parseInt(args[4]);
            contagionRate = Integer.parseInt(args[5]);
            lethalityRate = Integer.parseInt(args[6]);
        }

        public boolean isMine(){
            return ownerId == playerID;
        }
        public String toString()
        {
            return "H: "+healthy+" I: "+infected+" IR: "+infectionRate+" LR: "+lethalityRate+" CR: "+contagionRate;
        }
    }
}
\$\endgroup\$
2
\$\begingroup\$

Researcher, Java

This bot focuses on research. If the number of infected is below 15, it tries to cure them. If it's higher than that, it chooses the more effective solution.

public class Researcher {
    public static void main(String[] args){
        String[] args1 = args[0].split(";");
        int id = Integer.parseInt(args1[1]);
        for (int i = 2; i < args1.length; ++ i) {
            String[] args2 = args1[i].split("_");
            if (Integer.parseInt(args2[0]) == id) {
                int infected = Integer.parseInt(args2[2]);
                if (infected == 0) {
                    System.out.println("MEI");
                } else if(infected < 15) {
                    System.out.println("MEC");
                } else {
                    System.out.println("MEQ");
                }
            }
        }
    }
}
\$\endgroup\$
1
  • 1
    \$\begingroup\$ Java Language, I presume?? \$\endgroup\$
    – cat
    Jan 26, 2016 at 2:22
2
\$\begingroup\$

Piecemeal, Java

Based on my previous bot (CureThenQuarantine), I have found that with the aggressive bots in play, there is no need for quarantine as the infected will die very quickly, so this bot will opportunistically cure 10 infected each turn (either arriving from migration or from infections from healthy population). It will then use the remaining actions to ensure the healthy population stays healthy relying on births to boost the healthy population.

The borders are shut to ensure no infected migration into the state.

public class Piecemeal{
    static int playerID;
    
    public static void main(String[] args)
    {
        State thisState=null;
        
        args = args[0].split(";");
                
        // Parse arguments
        int round = Integer.parseInt(args[0]);
        playerID = Integer.parseInt(args[1]);

        for (int i = 2; i < args.length; i++){
            thisState = new State(args[i]);
            if(thisState.isMine()){
                break;
            }
        }

        String action="";
        if(round == 1) action = "B"; // ensure no migration.
        else if (round == 50 ) action ="CCC"; // not much else we can do so just cure some people.

        // Highest Priority to Curing up to ten infected if there are any.
        if (thisState.infected>0)
        {
            action+="C";
        }
        
        // Next priority is to reduce infection rate
        if (thisState.infectionRate>8) action+="MMM";
        else if (thisState.infectionRate>4) action+="MM";
        else if (thisState.infectionRate>1) action+="M";
        else if (thisState.infectionRate>0) action+="V";
        
        // then reduce contagion rate
        if (thisState.contagionRate>16) action+="EEE";
        else if (thisState.contagionRate>8) action+="EE";
        else if (thisState.contagionRate>1) action+="E";
        else if (thisState.contagionRate>0) action+="V";
        
        // and least priority is lethality rate... since we are only going to quarantine infected persons anyway.
        if (thisState.lethalityRate>8) action+="III";
        else if (thisState.lethalityRate>4) action+="II";
        else if (thisState.lethalityRate>1) action+="I";
        else if (thisState.lethalityRate>0) action+="V";
        
        // and if we have managed to clean up our state then we help others states.
        action+="PPP";

        System.out.println(action.substring(0,3));
    }

    static private class State {
        public int ownerId;
        public int lethalityRate;
        public int healthy;
        public int infected;
        public int infectionRate;
        public int contagionRate;

        public State(String string) {
            String[] args = string.split("_");
            ownerId = Integer.parseInt(args[0]);
            healthy = Integer.parseInt(args[1]);
            infected = Integer.parseInt(args[2]);
            infectionRate = Integer.parseInt(args[4]);
            contagionRate = Integer.parseInt(args[5]);
            lethalityRate = Integer.parseInt(args[6]);
        }

        public boolean isMine(){
            return ownerId == playerID;
        }
        public String toString()
        {
            return "H: "+healthy+" I: "+infected+" IR: "+infectionRate+" LR: "+lethalityRate+" CR: "+contagionRate;
        }
    }
}
\$\endgroup\$

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