Python 我的井字游戏告诉我，平局时我会赢
理论上，我的minimax算法应该运行良好。我找不到任何明显的问题。但是每当我以“O”的形式运行它时，我的算法都会说玩家会赢。然而，“井字游戏”是一场平局。 我很困惑Python 我的井字游戏告诉我，平局时我会赢,python,minimax,Python,Minimax,理论上，我的minimax算法应该运行良好。我找不到任何明显的问题。但是每当我以“O”的形式运行它时，我的算法都会说玩家会赢。然而，“井字游戏”是一场平局。 我很困惑 import time positionsChecked = 0 maxDepthChecked = 0 drawn = 0 wonForAI = 0 wonForPlayer = 0 def areMovesLeft(board): for i in board: for j in i:
import time
positionsChecked = 0
maxDepthChecked = 0
drawn = 0
wonForAI = 0
wonForPlayer = 0
def areMovesLeft(board):
for i in board:
for j in i:
if j == '-':
return True
return False
def evaluate(board, humanSprite, AISprite):
movesLeft = areMovesLeft(board)
if not movesLeft:
return 0
for i in range(3):
if board[i][0] == board[i][1] and board[i][1] == board[i][2]:
if board[i][0] == humanSprite:
return -10
elif board[i][0] == AISprite:
return 10
if board[0][i] == board[1][i] and board[1][i] == board[2][i]:
if board[0][i] == humanSprite:
return -10
elif board[0][i] == AISprite:
return 10
if board[0][0] == board[1][1] and board[1][1] == board[2][2]:
if board[0][0] == humanSprite:
return -10
elif board[0][0] == AISprite:
return 10
if board[0][2] == board[1][1] and board[1][1] == board[2][0]:
if board[0][2] == humanSprite:
return -10
elif board[0][2] == AISprite:
return 10
return 0
def minimax(board, isMaxPlayer, depth, humanSprite, AISprite, alpha, beta):
global positionsChecked, maxDepthChecked, drawn, wonForAI, wonForPlayer
best = 0
if depth > maxDepthChecked:
maxDepthChecked = depth
movesLeft = areMovesLeft(board)
if not movesLeft:
positionsChecked += 1
return 0
score = evaluate(board, humanSprite, AISprite)
if score == 10:
return score - depth
positionsChecked += 1
if score == -10:
positionsChecked +=1
return score + depth
for i in range(3):
for j in range(3):
if board[i][j] == '-':
movesLeft = True
if isMaxPlayer:
best = -1000
for i in range(3):
for j in range(3):
if board[i][j] == '-':
board[i][j] = AISprite
var2 = minimax(board, not isMaxPlayer, depth + 1, humanSprite, AISprite, alpha, beta)
best = max(best, var2)
board[i][j] = '-'
alpha = max(alpha, best)
if alpha <= beta:
break
break
return best
else:
best = 1000
for i in range(3):
for j in range(3):
if board[i][j] == '-':
board[i][j] = humanSprite
var2 = minimax(board, not isMaxPlayer, depth + 1, humanSprite, AISprite, alpha, beta)
best = min(best, var2)
board[i][j] = '-'
beta = min(beta, best)
if beta <= alpha:
break
break
print(best)
if best > 0:
wonForAI += 1
elif best == 0:
drawn +=1
elif best < 0:
wonForPlayer += 1
return best
def calcBestMove(board, humanSprite, AISprite):
global positionsChecked
global maxDepthChecked
maxDepthChecked = 0
positionsChecked = 0
print("Best move being calculated...")
timeBeforeMove = time.time() # I am using this to calculate how long the program takes to find the best move
bestValue = -1000
for i in range(3):
for j in range(3):
if board[i][j] == '-':
board[i][j] = AISprite
moveValue = minimax(board, False, 1, humanSprite, AISprite, -1000, 1000)
board[i][j] = '-'
if moveValue > bestValue:
bestValue = moveValue
bestRow = i
bestCol = j
print(f"\nThe value of the best move is {bestValue}. The best move is ({bestRow + 1}, {bestCol + 1})")
timeAfterMove = time.time()
timeTaken = timeAfterMove - timeBeforeMove
print(f"The time it took the AI to find the best move is {timeTaken} seconds.")
print(f"The AI searched {positionsChecked} positions.")
print(f"Deepest search is {maxDepthChecked}")
print(f"Drawn is {drawn} and won for player is {wonForPlayer} and wonfor ai is {wonForAI}")
board[bestRow][bestCol] = AISprite
def printBoard(board): # this prints the board
print(" | | ")
print(f" {board[0][0]} | {board[0][1]} | {board[0][2]} ")
print(" | | ")
print("---------|---------|---------")
print(" | | ")
print(f" {board[1][0]} | {board[1][1]} | {board[1][2]} ")
print(" | | ")
print("---------|---------|---------")
print(" | | ")
print(f" {board[2][0]} | {board[2][1]} | {board[2][2]} ")
print(" | | ")
def switchTurns(humanSprite, AISprite, isHumanTurn, board): # controls the flow of the game
printBoard(board)
if isHumanTurn:
while True:
row = input("Enter row: ")
column = input("Enter column: ")
if (row == '1' or row == '2' or row == '3') and (column == '1' or column == '2' or column == '3'):
row = int(row)-1
column = int(column)-1
if 0 <= row <= 2 and 0 <= column <= 2 and board[row][column] == '-':
board[row][column] = humanSprite
break
else:
if not (0 <= row <= 2 and 0 <= column <= 2):
print("Out of range!")
else:
print("Box already filled")
else:
print("Not valid values!")
else:
calcBestMove(board, humanSprite, AISprite)
gameStatus = evaluate(board, humanSprite, AISprite)
if gameStatus == 0:
movesLeft = False
for i in range(3):
for j in range(3):
if board[i][j] == '-':
movesLeft = True
if not movesLeft:
print("It's a tie!")
else:
switchTurns(humanSprite, AISprite, not isHumanTurn, board)
else:
printBoard(board)
if gameStatus == -10:
print("Human wins!")
elif gameStatus == 10:
print("AI wins!")
return
def chooseFirstOrSecond():
playerGoesFirst = input("DO you want to be first or second? (f/s) ")
if playerGoesFirst == 'f' or playerGoesFirst == 's':
if playerGoesFirst == 'f':
switchTurns('X', 'O', True, [['-', '-', '-'], ['-', '-', '-'], ['-', '-', '-']])
if playerGoesFirst == 's':
switchTurns('O', 'X', False, [['-', '-', '-'], ['-', '-', '-'], ['-', '-', '-']])
else:
print("Invalid!")
chooseFirstOrSecond()
chooseFirstOrSecond()
我不知道为什么…我想你在alpha-beta修剪中翻转了一个比较运算符。具体来说，在
if isMaxPlayer:if alpha <= beta:
break
顺便说一句，有多少场比赛是平局或获胜的，但这并不影响实际的引擎。。。
if alpha <= beta:
break
if alpha >= beta:
break