Crabs/3DChess
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Simon Pribylski
2025-04-18 22:19:47 +02:00
parent 4a58136afe
commit dd6e033528
12 changed files with 89 additions and 47 deletions
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63
app/src/main/java/chess/ai/AlphaBetaAI.java
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@@ -10,6 +10,7 @@ import chess.controller.commands.MoveCommand;
import chess.controller.commands.NewGameCommand;
import chess.controller.commands.PromoteCommand;
import chess.controller.commands.PromoteCommand.PromoteType;
import chess.controller.event.EmptyGameDispatcher;
import chess.controller.commands.UndoCommand;
import chess.model.ChessBoard;
import chess.model.Color;
@@ -24,12 +25,15 @@ public class AlphaBetaAI extends AI {
private final CommandExecutor simulation;
private final Game gameSimulation;
private final int GREAT_MOVE = -9999;
private final int HORRIBLE_MOVE = -GREAT_MOVE;
public AlphaBetaAI(CommandExecutor commandExecutor, Color color, int searchDepth) {
super(commandExecutor, color);
this.searchDepth = 3;
this.searchDepth = searchDepth;
this.pieceCost = new PieceCost(color);
this.gameSimulation = new Game();
this.simulation = new CommandExecutor(this.gameSimulation);
this.simulation = new CommandExecutor(this.gameSimulation, new EmptyGameDispatcher());
}
public CommandExecutor getSimulation() {
@@ -44,9 +48,32 @@ public class AlphaBetaAI extends AI {
result += pieceCost.getCost(board.pieceAt(new Coordinate(i, j)));
}
}
if (this.gameSimulation.getPlayerTurn() != color)
return -result;
return result;
}
private int getEndGameEvaluation() {
Color currentTurn = this.gameSimulation.getPlayerTurn();
if (currentTurn == this.color) {
return HORRIBLE_MOVE;
} else {
if (this.gameSimulation.getBoard().isKingInCheck(currentTurn))
return GREAT_MOVE;
return getBoardEvaluation() - PieceCost.PAWN;
}
}
private void simulateMove(Move move) {
sendCommand(new MoveCommand(move), this.simulation);
if (this.gameSimulation.getBoard().pawnShouldBePromoted())
sendCommand(new PromoteCommand(PromoteType.Queen), this.simulation);
}
private void simulateUndo() {
sendCommand(new UndoCommand(), this.simulation);
}
private int negaMax(int depth, int alpha, int beta) {
if (depth == 0)
return getBoardEvaluation();
@@ -55,20 +82,13 @@ public class AlphaBetaAI extends AI {
List<Move> moves = getAllowedMoves(this.simulation);
if (moves.isEmpty()) {
System.out.println("oaaaaaaaaa");
int board = getBoardEvaluation();
int result = board + (this.gameSimulation.getPlayerTurn() == this.color ? -100 : 100);
return result;
}
if (moves.isEmpty())
return getEndGameEvaluation();
for (Move move : moves) {
sendCommand(new MoveCommand(move), this.simulation);
if (this.gameSimulation.getBoard().pawnShouldBePromoted())
sendCommand(new PromoteCommand(PromoteType.Queen), this.simulation);
int leaveValue = -negaMax(depth - 1, -beta, -alpha);
value = Integer.max(value, leaveValue);
sendCommand(new UndoCommand(), this.simulation);
simulateMove(move);
value = Integer.max(value, -negaMax(depth - 1, -beta, -alpha));
simulateUndo();
alpha = Integer.max(alpha, value);
if (alpha >= beta)
return value;
@@ -83,11 +103,9 @@ public class AlphaBetaAI extends AI {
List<Move> bestMoves = new ArrayList<>(20);
for (Move move : moves) {
sendCommand(new MoveCommand(move), this.simulation);
if (this.gameSimulation.getBoard().pawnShouldBePromoted())
sendCommand(new PromoteCommand(PromoteType.Queen), this.simulation);
simulateMove(move);
int value = -negaMax(this.searchDepth - 1, Integer.MIN_VALUE, Integer.MAX_VALUE);
sendCommand(new UndoCommand(), this.simulation);
simulateUndo();
if (value > bestMove) {
bestMove = value;
bestMoves.clear();
@@ -108,9 +126,12 @@ public class AlphaBetaAI extends AI {
}
@Override
public void onPawnPromoted(PromoteType promotion, Color player) {
// if (player == this.color)
// return;
public void onGameEnd() {
this.simulation.close();
}
@Override
public void onPawnPromoted(PromoteType promotion) {
sendCommand(new PromoteCommand(promotion), this.simulation);
}