Computing agents' reputation within a network

IF 1 3区 经济学 Q3 ECONOMICS Games and Economic Behavior Pub Date : 2025-01-20 DOI:10.1016/j.geb.2025.01.002
Federico Grigis , Sergio Ortobelli Lozza , Sebastiano Vitali
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引用次数: 0

Abstract

We propose a model of information transmission and reputation building within a social network that exploits portfolio theory and option structures. The network aims to estimate an unknown parameter through multiple communication rounds. At every communication round, estimates of different agents' abilities are shared, avoiding the repetition of information. These estimates are interpreted as financial assets driven by a compound Poisson process. After every communication round, agents construct a fictitious portfolio of options whose underlying is the vector of shared estimates. The portfolio's weights are exploited to aggregate the information received in the communication round. Sufficient conditions for reaching consensus or polarization are provided.
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计算代理在网络中的声誉
我们提出了一个利用投资组合理论和期权结构的社会网络中的信息传递和声誉建立模型。该网络旨在通过多次通信来估计未知参数。在每一轮交流中,对不同代理能力的估计是共享的,避免了信息的重复。这些估计被解释为由复合泊松过程驱动的金融资产。在每一轮通信之后,代理构建一个虚拟的期权组合,其基础是共享估计向量。利用组合的权重来汇总在通信轮中收到的信息。为达成共识或两极分化提供了充分条件。
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来源期刊
CiteScore
1.90
自引率
9.10%
发文量
148
期刊介绍: Games and Economic Behavior facilitates cross-fertilization between theories and applications of game theoretic reasoning. It consistently attracts the best quality and most creative papers in interdisciplinary studies within the social, biological, and mathematical sciences. Most readers recognize it as the leading journal in game theory. Research Areas Include: • Game theory • Economics • Political science • Biology • Computer science • Mathematics • Psychology
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