A chess engine implemented in Python using priority queue search and board evaluation. The AI analyzes possible moves, evaluates board positions based on material advantage, and selects optimal moves using tree search algorithms.
Generates all legal moves for each piece type, including special moves like castling and pawn promotion.
Scores positions based on material count, piece captures, and check/checkmate detection.
Uses priority queue to explore move sequences, prioritizing positions with better evaluations.
Explores the game tree by generating successor states and tracking visited positions.
def search(b): turn = 0 visited = [b] q = Queue.PriorityQueue() q.put((b.boardScore(turn), b)) while q.qsize() > 0: turn = -turn + 1 child = q.get() v = child[1] h = v.successors(turn) for s in range(len(h)): if not h[s] in visited: newPriority = h[s].boardScore(turn) + child[0] q.put((newPriority, h[s])) visited.append(h[s])