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Artificial adaptive agent model characterized by learning and fairness in the ultimatum games

This paper examines the result of the experimental research on the ultimatum games through simulation analysis. To do so, we develop agent-based simulation system imitating the behavior of human subjects in the laboratory experiment by implementing a learning mechanism involving a concept of fairne...

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Bibliografische gegevens
Hoofdauteurs: Tomohiro Hayashida, Ichiro Nishizaki, Hideki Katagiri
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: National Institute of Telecommunications 2023-06-01
Reeks:Journal of Telecommunications and Information Technology
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Online toegang:https://jtit.pl/jtit/article/view/849
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