public Move move(Situation situation, int timeLeft) {
resourceManager.startTurn(sideOfAI, timeLeft);
// creating fallback mode;
Move nextMove = moveEvaluator.getFallBackMove(situation);
try {
// popping out of this loop when time limiter hits the wall or nextMove is known to be Winning
// game path.
for (int searchDepth = 1;
searchDepth < resourceManager.calculateCutDepth(timeLeft);
searchDepth++) {
nextMove = moveEvaluator.getBesMove(situation, searchDepth);
if (moveEvaluator.isPathOfWinningMove(nextMove)) {
return nextMove;
}
}
} catch (SoftTimeLimitException e) {
// catch Halting condition, at the moment nextMove has best possible move (naturally
// incomplete stateSearch is discarded).
return nextMove;
} catch (Exception e) {
e.printStackTrace();
return moveEvaluator.getFallBackMove(situation);
}
// To get here we have been searched all the game states, and then some but not found winning
// condition... so.
return nextMove;
}
public Itself(Random rnd) {
// create heuristics
heuristics = new SimpleHeuristics();
heuristics.setWeights(WeigthOwner.own, weigths(2, 10, 250, 100));
heuristics.setWeights(WeigthOwner.enemy, weigths(0, 20, 500, 0));
// create move evaluator
moveEvaluator = new AlphaBetaPruning();
moveEvaluator.setRandomEngine(rnd);
moveEvaluator.setHeuristics(heuristics);
// create Resource Manager
resourceManager = new ResourceManager(TOTAL_GAMETIME, MAX_TURNS);
}
public void start(Engine engine, Side side) {
sideOfAI = side;
// init move Evaluator
moveEvaluator.setAISide(side);
moveEvaluator.setEngine(engine);
moveEvaluator.setHaltingCondition(
new IHaltingCondition() {
@Override
public void isTimeLimitReached() throws SoftTimeLimitException {
if (resourceManager.timeLimitReached() || resourceManager.memoryLimitReached()) {
throw new SoftTimeLimitException();
}
}
});
// init heuristics
heuristics.setSide(side);
heuristics.setEngine(engine);
heuristics.setMode(IHeuristics.Mode.aggressive);
heuristics.init();
}