A technique for modelling economic agents with bounded and procedural rationality is presented. In this technique an agent has a population of mental models which evolve. This evolution is its learning process. This is embedded within an agent architecture which then exhibits several qualitative characteristics relevant to modelling human-like agents. Two example models using this technique are presented. The first is of agents attempting to learn their own utility function in the presence of structural change. The second is an extension of Brian Arthur's `El Farol Bar' model where evolutionary learning and communication is added.
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机译：提出了一种对经济主体进行建模的技术，该技术具有有限的程序理性。在这种技术中，代理人具有不断发展的思维模型。这种演变是其学习过程。这被嵌入到一个代理架构中，该架构随后展现出与建模类人代理有关的几个定性特征。给出了使用该技术的两个示例模型。首先是代理人试图在结构变化的情况下学习自己的效用函数。第二个是Brian Arthur的“ El Farol Bar”模型的扩展，其中添加了进化学习和交流。
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