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378 lines (296 loc) · 9.74 KB
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/*************************************************************
* Main.java
* Secret Hitler
*
* MSc Computer Games Systems
* Nottingham Trent University
* Major Project
*
* Dario Hermann N0773470
* 2017/18
*************************************************************/
import java.io.BufferedWriter;
import java.io.FileWriter;
import java.io.IOException;
import java.io.PrintWriter;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Random;
/**
* The starting class of the programm
*
*/
public class Main {
public static void main(String[] args) {
Random rnd = new Random(System.currentTimeMillis());
Game secretHitler = new GameRun();
ArrayList<String> roles = secretHitler.getRoles();
ArrayList<Integer> fascists = new ArrayList<Integer>();
ArrayList<Player> players = new ArrayList<Player>();
int victory;
float[] fitness = new float[20];
int[] positions = new int[20];
for(int i =0; i < 2; i++) {
fascists.add(-1);
}
ArrayList<NN> neuralNetworks = new ArrayList<NN>();
for(int i = 0; i < 20; i++) {
neuralNetworks.add(new NN(48, 30)); //creates 20 new NN with the intention of later reading all the 20 individuals saved on a txt file
}
String[] values = new String[20];
int weightNumb;
String filePath = "weightCounter.txt";
String content = null;
try{
content = new String ( Files.readAllBytes( Paths.get(filePath) ) ); //This the number of the file of the most recent population
}catch (IOException e){
e.printStackTrace();
}
weightNumb = Integer.parseInt(content);
filePath = "weights" + weightNumb + ".txt";
content = null;
try{
content = new String ( Files.readAllBytes( Paths.get(filePath) ) ); // this loads up the most recent population of weights
}catch (IOException e){
e.printStackTrace();
}
values = content.split("\\r?\\n");
for(int i = 0; i < 20; i++) {
neuralNetworks.get(i).initialWeights(values[i]); //adds the initial weights to the NN
}
filePath = "counter.txt";
content = null;
try{
content = new String ( Files.readAllBytes( Paths.get(filePath) ) ); //a counter to see what individual the next ML Bot needs to use
}catch (IOException e){
e.printStackTrace();
}
int counter = Integer.parseInt(content);
int chosen;
boolean[] isML = new boolean[5]; //isML is used to know how many players were ML Bots
for(int i=0; i < 5; i++) {
isML[i] = false;
}
int[] typeOfPlayers = new int[5];
Collections.shuffle(roles);
System.out.println(roles);
for(int i = 0; i < 5; i++) { //choosing what type of players will play
do {
chosen = rnd.nextInt(7); //The types of player commented out are only used if the user wants
// if(chosen == 0) {
// HonestBot n_player = new HonestBot(roles.get(i), i+1);
// players.add(n_player);
// } else if(chosen == 1) {
// RandomBot n_player = new RandomBot(roles.get(i), i+1);
// players.add(n_player);
/*} else*/ if(chosen == 2) {
Human n_player = new Human(roles.get(i), i+1);
players.add(n_player);
} else if(chosen < 5) {
InteligBot n_player = new InteligBot(roles.get(i), i+1);
players.add(n_player);
} else if(chosen < 7) {
if(counter < 300) {
MLBot n_player = new MLBot(roles.get(i), i+1, neuralNetworks.get(counter));
players.add(n_player);
isML[i] = true;
}
}
} while(chosen >= 5 && counter == 300);
typeOfPlayers[i] = chosen;
if(chosen >= 5) {
counter++;
}
if(roles.get(i).equals("Hitler")) {
fascists.set(1, i+1);
} else if(roles.get(i).equals("Fascist")) {
fascists.set(0, i+1);
}
}
secretHitler.makePlayersState(players);
for(int i = 0; i < 5; i++) {
players.get(i).receiveRole(fascists);
}
victory = secretHitler.start(); //start the game
if(victory == 1 ) { //LIBERALS WIN
for(int i = 0; i < 5; i++) {
if(roles.get(i).equals("Liberal")) {
players.get(i).didIWin(true);
} else {
players.get(i).didIWin(false);
}
}
} else {
for(int i = 0; i < 5; i++) {
if(roles.get(i).equals("Liberal")) {
players.get(i).didIWin(false);
} else {
players.get(i).didIWin(true);
}
}
}
int c = 0;
for(int i = 0; i < 5; i++) {
positions[i] = i;
positions[i+5] = i+5;
positions[i+10] = i+10;
positions[i+15] = i+15;
if(isML[i]) {
fitness[c++] = players.get(i).getTotalCost();
}
}
for(int i = 0; i < 5; i++) {
System.out.print(typeOfPlayers[i] + "\t"); //prints out what type of players were playing
}
/* FROM THIS POINT UNTIL THE END IT WAS ONLY USED WHILE TRAINING THE MLBOT, OUTSIDE OF TRAINING MODE THIS IS NOT NECESSARY
try(FileWriter fw = new FileWriter("fitnesses.txt", true);
BufferedWriter bw = new BufferedWriter(fw);
PrintWriter out = new PrintWriter(bw)) {
for(int i = 0; i < c; i++) {
out.println(fitness[i]);
}
} catch (IOException e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
try(FileWriter fw = new FileWriter("counter.txt", false);
BufferedWriter bw = new BufferedWriter(fw);
PrintWriter out = new PrintWriter(bw)) {
out.print(counter);
} catch (IOException e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
//----------------------------------------------------
if(counter >= 300) {
String n_filePath = "fitnesses.txt";
String n_content = null;
try{
n_content = new String ( Files.readAllBytes( Paths.get(n_filePath) ) );
}catch (IOException e){
e.printStackTrace();
}
String[] _cont = n_content.split("\\r?\\n");
for(int i = 0; i < 20; i++) {
fitness[i] = Float.parseFloat(_cont[i]);
fitness[i] += Float.parseFloat(_cont[i+20]);
fitness[i] += Float.parseFloat(_cont[i+40]);
fitness[i] += Float.parseFloat(_cont[i+60]);
fitness[i] += Float.parseFloat(_cont[i+80]);
fitness[i] += Float.parseFloat(_cont[i+100]);
fitness[i] += Float.parseFloat(_cont[i+120]);
fitness[i] += Float.parseFloat(_cont[i+140]);
fitness[i] += Float.parseFloat(_cont[i+160]);
fitness[i] += Float.parseFloat(_cont[i+180]);
fitness[i] += Float.parseFloat(_cont[i+200]);
fitness[i] += Float.parseFloat(_cont[i+220]);
fitness[i] += Float.parseFloat(_cont[i+240]);
fitness[i] += Float.parseFloat(_cont[i+260]);
fitness[i] += Float.parseFloat(_cont[i+280]);
}
n_filePath = "final_counter.txt";
n_content = null;
try{
n_content = new String ( Files.readAllBytes( Paths.get(n_filePath) ) );
}catch (IOException e){
e.printStackTrace();
}
int page = Integer.parseInt(n_content);
filePath = "fitness_Final_" + page + ".txt";
try(FileWriter fw = new FileWriter(filePath, true);
BufferedWriter bw = new BufferedWriter(fw);
PrintWriter out = new PrintWriter(bw)) {
for(int i = 0; i < 20; i++) {
out.println(i+1 + "\t\t" + fitness[i]);
}
} catch (IOException e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
for(int i = 0; i < 20; i++)
{
positions[i] = i;
}
for(int i = 0; i < 19; i++) {
for(int j = 0; j < 19 - i; j++) {
if(fitness[j] > fitness[j+1]) {
float x = fitness[j];
fitness[j] = fitness[j+1];
fitness[j+1] = x;
int y = positions[j];
positions[j] = positions[j+1];
positions[j+1] = y;
}
}
}
filePath = "fitness_Final2_" + page + ".txt";
try(FileWriter fw = new FileWriter(filePath, false);
BufferedWriter bw = new BufferedWriter(fw);
PrintWriter out = new PrintWriter(bw)) {
for(int i = 0; i < 20; i++) {
out.println(positions[i]+1 + "\t\t" + fitness[i]);
}
} catch (IOException e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
float[][] survivors = new float[4][];
for(int i = 0; i < 4; i++) {
survivors[i] = neuralNetworks.get(positions[i]).getBrain();
}
GeneticAlgorithms ga = new GeneticAlgorithms(survivors);
ga.generateChildren();
String[] newGeneration = ga.getNew_Gen_String();
filePath = "weights" + (weightNumb+1) + ".txt";
try(FileWriter fw = new FileWriter(filePath, false);
BufferedWriter bw = new BufferedWriter(fw);
PrintWriter out = new PrintWriter(bw)) {
for(int i = 0; i < newGeneration.length; i++) {
out.println(newGeneration[i]);
}
} catch (IOException e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
filePath = "weightCounter.txt";
try(FileWriter fw = new FileWriter(filePath, false);
BufferedWriter bw = new BufferedWriter(fw);
PrintWriter out = new PrintWriter(bw)) {
out.print(weightNumb+1);
} catch (IOException e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
++page;
filePath = "final_counter.txt";
try(FileWriter fw = new FileWriter(filePath, false);
BufferedWriter bw = new BufferedWriter(fw);
PrintWriter out = new PrintWriter(bw)) {
out.print(page);
} catch (IOException e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
filePath = "counter.txt";
try(FileWriter fw = new FileWriter(filePath, false);
BufferedWriter bw = new BufferedWriter(fw);
PrintWriter out = new PrintWriter(bw)) {
out.print(0);
} catch (IOException e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
filePath = "fitnesses.txt";
try(FileWriter fw = new FileWriter(filePath, false);
BufferedWriter bw = new BufferedWriter(fw);
PrintWriter out = new PrintWriter(bw)) {
out.print("");
} catch (IOException e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
}*/
}
}
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