We develop a game theoretical model of $N$ heterogeneous interacting agentscalled the intelligent minority game. The ``intelligent'' agents play the basicminority game and depending on their performances, generate new strategiesusing the one-point genetic crossover mechanism. The performances changedramatically and the game moves rapidly to an efficient state (fluctuations inthe number of agents performing a particular action, characterized by$\sigma^2$, reaches a low value). There is no ``phase transition'' when we vary$\sigma^2/N$ with $2^M/N$, where $M$ is the ``memory''of an agent.
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机译：我们开发了一种$ N $异构交互代理的博弈模型，称为智能少数博弈。 ``智能''特工扮演基本的少数派游戏，并根据其表现使用单点遗传交叉机制产生新的策略。表演发生了戏剧性的变化，游戏迅速进入了有效状态（执行特定操作的特工数量的波动，以$ \ sigma ^ 2 $为特征，达到了较低的值）。当我们将$ \ sigma ^ 2 / N $与$ 2 ^ M / N $进行变化时，没有``相变''，其中$ M $是代理的``内存''。
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