设计实验一个多智能系统研究智能体之间的博弈行为，实验代码

好的，下面是一个简单的实验代码，可以用来研究智能体之间的博弈行为，基于Python语言实现：

import random

# 定义两个智能体
class Agent:
    def __init__(self, name):
        self.name = name
        self.score = 0
        self.strategies = ["cooperate", "defect"]
        
    def choose_strategy(self):
        return random.choice(self.strategies)

# 定义一个博弈函数
def play_game(agent1, agent2):
    strategy1 = agent1.choose_strategy()
    strategy2 = agent2.choose_strategy()
    if strategy1 == "cooperate" and strategy2 == "cooperate":
        agent1.score += 3
        agent2.score += 3
    elif strategy1 == "cooperate" and strategy2 == "defect":
        agent1.score += 0
        agent2.score += 5
    elif strategy1 == "defect" and strategy2 == "cooperate":
        agent1.score += 5
        agent2.score += 0
    else:
        agent1.score += 1
        agent2.score += 1

# 定义一个实验函数
def run_experiment(num_agents, num_rounds):
    agents = []
    for i in range(num_agents):
        agent = Agent("agent" + str(i))
        agents.append(agent)
    
    for i in range(num_rounds):
        for j in range(num_agents):
            for k in range(j+1, num_agents):
                play_game(agents[j], agents[k])
    
    for agent in agents:
        print(agent.name, agent.score)

# 运行实验
run_experiment(2, 10)

这个实验代码中，我们定义了一个Agent类来表示智能体，每个智能体有一个名称、一个分数和两个策略（合作和背叛）。我们还定义了一个play_game函数来模拟两个智能体之间的博弈，根据他们的策略来确定他们的收益。最后，我们定义了一个run_experiment函数来运行实验，指定智能体的数量和博弈的轮数，然后输出每个智能体的得分。

你可以根据需要修改参数，如智能体数量、博弈轮数和策略等，来进行不同的实验研究。