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Aspiration-Based Learning in <i>k</i>-Hop Best-Shot Binary Networked Public Goods Games

In public goods games, it is common for agents to learn strategies from those who possess the highest utility. However, in reality, because of the lack of information, strategies and utilities from others cannot be obtained or predicted during learning and updating. To address this issue, we introdu...

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Principais autores: Ziyi Chen, Kaiyan Dai, Xing Jin, Liqin Hu, Yongheng Wang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2023-07-01
coleção:Mathematics
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Acesso em linha:https://www.mdpi.com/2227-7390/11/14/3037
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