def evaluate(individual):
def cuanteti_heuristic(agent, game, depth):
square_value = {'X': 1, 'O': -1, '.': 0}
square_factors = individual
board_value = sum([square_value[s] * p for s, p in
zip(game.board, square_factors)])
return board_value if agent.player == 'Xs' else -board_value
# Amount of matches played as 'X' and as 'O'.
matches = 50
wins = 0
agent1 = MiniMaxAgent(heuristic=cuanteti_heuristic)
agent2 = RandomAgent()
for i in range(matches):
result = run_match(Cuanteti(), agent1, agent2)
if result[0]['Xs'] > 0:
wins += 1
for i in range(matches):
result = run_match(Cuanteti(), agent2, agent1)
if result[0]['Os'] > 0:
wins += 1
return wins,
def run_test(agent1, agent2, matches=1000):
"""
Test a heuristic function as agent1 against an agent2.
"""
wins = 0
draws = 0
loses = 0
for i in range(matches):
result = run_match(Cuanteti(), agent1, agent2)[0]['Xs']
if result > 0:
wins += 1
elif result == 0:
draws += 1
else:
loses += 1
for i in range(matches):
result = run_match(Cuanteti(), agent2, agent1)[0]['Os']
if result > 0:
wins += 1
elif result == 0:
draws += 1
else:
loses += 1
return wins, loses, draws
def run_test_game(agent1=None, agent2=None):
if not agent1:
from adversarial_search.agents.mcts import MCTSAgent
agent1 = MCTSAgent('Computer', simulation_count=10)
if not agent2:
from adversarial_search.agents.files import FileAgent
agent2 = FileAgent(name='Human')
from adversarial_search.core import run_match
run_match(Cuanteti(), agent1, agent2)
def run_test_game(agent1=None, agent2=None):
if not agent1:
from adversarial_search.agents.minimax import MiniMaxAgent
agent1 = MiniMaxAgent('Computer', 3, heuristic=TicTacToe.simple_heuristic)
if not agent2:
from adversarial_search.agents.files import FileAgent
agent2 = FileAgent(name='Human')
from adversarial_search.core import run_match
run_match(TicTacToe(), agent1, agent2)
def run_test_game(agent1=None, agent2=None):
if not agent1:
from adversarial_search.agents.random import RandomAgent
agent1 = RandomAgent(name='Computer')
if not agent2:
from adversarial_search.agents.files import FileAgent
agent2 = FileAgent(name='Human')
from adversarial_search.core import run_match
run_match(ToadsFrogs(None, 0, 5, 4), agent1, agent2)