囚徒困境合作、背叛、以牙还牙、随机策略python代码
时间: 2023-07-10 17:39:30 浏览: 232
粒子群算法解决随机策略空间囚徒困境
以下是一个实现囚徒困境游戏的Python代码示例,其中包括合作、背叛、以牙还牙和随机策略:
```python
import random
# 定义囚徒困境游戏
def prisoner_dilemma(p1, p2):
if p1 == 'C' and p2 == 'C':
return (3, 3)
elif p1 == 'C' and p2 == 'D':
return (0, 5)
elif p1 == 'D' and p2 == 'C':
return (5, 0)
elif p1 == 'D' and p2 == 'D':
return (1, 1)
# 定义策略函数
def cooperate_strategy(opponent_moves):
return 'C'
def defect_strategy(opponent_moves):
return 'D'
def tit_for_tat_strategy(opponent_moves):
if opponent_moves:
return opponent_moves[-1]
else:
return 'C'
def random_strategy(opponent_moves):
return random.choice(['C', 'D'])
# 测试策略函数
strategies = [cooperate_strategy, defect_strategy, tit_for_tat_strategy, random_strategy]
for strategy in strategies:
score = 0
for i in range(10):
my_move = strategy([])
opponent_move = random_strategy([])
my_score, opponent_score = prisoner_dilemma(my_move, opponent_move)
score += my_score
print(f"Strategy {strategy.__name__} scores {score}")
```
在这个示例中,我们首先定义了囚徒困境游戏的规则,然后定义了四种不同的策略函数:合作、背叛、以牙还牙和随机策略。最后,我们对每一个策略函数进行了测试,并输出了它的得分。
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