Memory retrieval in the demand game with a few possible splits: Unfair conventions emerge in fair settings

IF 1.9 3区 经济学 Q2 ECONOMICS
Ennio Bilancini , Leonardo Boncinelli , Eugenio Vicario
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引用次数: 0

Abstract

Our study examines the long-run evolutionary outcome emerging in scenarios where two populations engage in a demand game with three potential splits. These populations differ in the sample sizes used when best responding to retrieved information from the past. Our findings reveal the existence of a threshold in the setting's fairness (i.e., the fairness of unfair splits) such that, below the threshold (i.e., in an unfair setting), the emerging convention is the fair one, while above the threshold (i.e., in a fair setting), the emerging convention is unfair, favoring the agents with the longer sample size. The threshold gets lower as the difference in the sample sizes increases.

有几种可能拆分的需求游戏中的记忆检索:公平环境中出现的不公平惯例
我们的研究探讨了在两个种群参与需求博弈的情况下出现的长期进化结果。这些种群在对过去检索到的信息做出最佳反应时所使用的样本大小不同。我们的研究结果表明,环境的公平性(即不公平分割的公平性)存在一个阈值,在阈值以下(即在不公平的环境中),新出现的惯例是公平的,而在阈值以上(即在公平的环境中),新出现的惯例是不公平的,有利于样本量较长的代理。随着样本量差异的增大,阈值会越来越低。
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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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