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Is the El Farol more efficient when cognitive rational agents have a larger memory size?

机译:当认知理性主体具有更大的记忆力时,El Farol会更有效吗?

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Recently, there has been an increasing interest in applying cognitive modelling approaches towards the understanding of the behaviour of agents in complex systems. In this paper we employ a cognitive modelling approach in a representative instance of such systems namely in the El Farol bar problem. We establish a relationship between agents and strategies, by defining the degree of belief of agents in the correctness of strategies, and devise a concept of rationality inspired in cognitive emotion theories, by conceptualizing the belief threshold by which agents must change its current strategy. We investigate whether a larger memory size increases market efficiency. We test this by systematically evaluating fifteen different treatments in which we gradually increase the memory size of cognitive agents. Interestingly, we found that the benefits of having a larger memory size are somehow limited. The results did not provide us with sufficient evidence to state that the El Farol bar is more efficient when cognitive rational agents have a larger memory size.
机译:最近,人们越来越有兴趣将认知建模方法用于理解复杂系统中代理的行为。在本文中,我们在此类系统的代表性实例(即El Farol bar问题)中采用认知建模方法。我们通过定义行为者对策略正确性的信念程度来建立行为者与策略之间的关系,并通过概念化必须改变其行为策略的信念阈值,设计一种在认知情感理论中启发的理性概念。我们调查更大的内存大小是否会提高市场效率。我们通过系统地评估十五种不同的治疗方法来对此进行测试,在这些方法中,我们逐渐增加了认知剂的记忆力。有趣的是,我们发现拥有更大内存大小的好处受到了某种程度的限制。该结果并没有提供足够的证据来说明当认知理性行为者具有更大的记忆大小时,El Farol条更为有效。

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