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TeamQueller.java
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TeamQueller.java
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import java.util.*;
@Deprecated
public class TeamQueller extends Player {
//A Node represents a board position, a best move and payoffs; this is according to Realist assumptions.
private Node[] results; //Array of Nodes indexed by an integer representing a board position. Memory intensive!
private int[] bestMoveInts; //A best move for each position, encoded with ``bit twiddling'' to save memory.
int maxNumMoves; //Called GameLimit in the project specs
private Random rand;
public TeamQueller(int maxNumMoves_) {
maxNumMoves = maxNumMoves_;
LinkedList<BoardPosition> allInitialBoardPositions = getAllInitialBoardPositions();
rand = new Random(0); //For choosing random moves...
//BoardPosition.toInt() will be used for indices in the following arrays:
results = new Node[1<<23];
bestMoveInts = new int[1<<23];
//Those indices will be less than 1<<23; that is 1 shifted left by 23 bits, which gives 2^23.
for (BoardPosition boardPosition : allInitialBoardPositions) {
computeBestMove(boardPosition);
}
results=null; //De-allocate results, so garbage collector will free up that memory.
}
public void prepareForSeries() {
}
public void prepareForMatch() {
}
public void receiveMatchOutcome(int matchOutcome) {
}
public MoveDescription chooseMove() {
BoardPosition boardPosition = toBoardPosition();
return new MoveDescription(bestMoveInts[boardPosition.toInt()]);
}
private Node computeBestMove(BoardPosition boardPosition) {
int currentPositionInt = boardPosition.toInt();
Node savedResult = results[currentPositionInt];
if (savedResult != null) {
return savedResult;
}
int currentPlayerColour = (boardPosition.numMovesPlayed % 2 == 0) ? WHITE : BLACK;
Node ret = null;
double[] payoffsWhiteWins;
double[] payoffsBlackWins;
double[] payoffsTie;
double[] payoffsDraw;
if (boardPosition.myColour == WHITE) {
payoffsWhiteWins = new double[] {0.0, 0.0};
payoffsBlackWins = new double[] {-3.0, 3.0};
payoffsTie = new double[] {-2.0, 2.0};
payoffsDraw = new double[] {-1.0, 1.0};
} else {
payoffsWhiteWins = new double[] {3.0, -3.0};
payoffsBlackWins = new double[] {0.0, 0.0};
payoffsTie = new double[] {2.0, -2.0};
payoffsDraw = new double[] {1.0, -1.0};
}
// if both kings have been captured, the game has ended
if (boardPosition.whiteKingPosition == 0 && boardPosition.blackKingPosition == 0) {
ret = new Node(null, payoffsTie);
} else if (boardPosition.whiteKingPosition == 0 && currentPlayerColour == BLACK) {
// if white king has been captured and it's black player's turn, the game has ended
// black won
ret = new Node(null, payoffsBlackWins);
} else if (boardPosition.blackKingPosition == 0 && currentPlayerColour == WHITE) {
// if black king has been captured and it's white player's turn, the game has ended
// white won
ret = new Node(null, payoffsWhiteWins);
} else if (currentPlayerColour == WHITE && boardPosition.whiteKingPosition == 0 && boardPosition.whiteRookPosition == 0) {
// if it's white player's turn but he has no pieces left, the game has ended
// black won
ret = new Node(null, payoffsBlackWins);
} else if (currentPlayerColour == BLACK && boardPosition.blackKingPosition == 0 && boardPosition.blackRookPosition == 0) {
// if it's black player's turn but he has no pieces left, the game has ended
// white won
ret = new Node(null, payoffsWhiteWins);
} else if (boardPosition.numMovesPlayed == maxNumMoves) {
// if we have reached the maximum number of moves, the game is over
if (boardPosition.whiteKingPosition != 0 && boardPosition.blackKingPosition != 0) {
// draw
ret = new Node(null, payoffsDraw);
} else if (boardPosition.blackKingPosition == 0) {
// white won
ret = new Node(null, payoffsWhiteWins);
} else {
// !whiteKingRemains
// black won
ret = new Node(null, payoffsBlackWins);
}
} else {
// Game has not ended
// Explore all possible moves
ArrayList<MoveDescription> allPossibleMoves = boardPosition.getAllPossibleMoves();
ArrayList<Node> allBestNodes = new ArrayList<Node> ();
double bestScore=0.0;
for (MoveDescription moveDescription : allPossibleMoves) {
BoardPosition newBoardPosition = boardPosition.doMove(moveDescription);
Node node = computeBestMove(newBoardPosition);
if (allBestNodes.size()==0) {
bestScore=node.getScore(currentPlayerColour);
allBestNodes.add(new Node(moveDescription, node.getScore(WHITE), node.getScore(BLACK)));
} else if (node.getScore(currentPlayerColour) == bestScore) { //Dangerous to compare doubles!!!
allBestNodes.add(new Node(moveDescription, node.getScore(WHITE), node.getScore(BLACK)));
} else if (node.getScore(currentPlayerColour) > bestScore) {
bestScore=node.getScore(currentPlayerColour);
allBestNodes = new ArrayList<Node> ();
allBestNodes.add(new Node(moveDescription, node.getScore(WHITE), node.getScore(BLACK)));
}
}
ret=allBestNodes.get(rand.nextInt(allBestNodes.size()));
}
//Add result to array!
results[currentPositionInt]=ret;
if (ret.bestMove != null) {
bestMoveInts[currentPositionInt]=ret.bestMove.toInt();
}
return ret;
}
private class Node {
public MoveDescription bestMove;
public double scoreWhite, scoreBlack;
public Node(MoveDescription bestMove_, double scoreWhite_, double scoreBlack_) {
bestMove = bestMove_;
scoreWhite = scoreWhite_;
scoreBlack = scoreBlack_;
}
public Node(MoveDescription bestMove_, double [] score_) {
this(bestMove_, score_[WHITE], score_[BLACK]);
}
public double getScore(int colour) {
return (colour == WHITE) ? scoreWhite : scoreBlack;
}
}
}