Social preferences in the public goods game–An Agent-Based simulation with EconSim

Using a reinforcement-learning algorithm, we model an agent-based simulation of a public goods game with endogenous punishment institutions. We propose an outcome-based model of social preferences that determines the agent’s utility, contribution, and voting behavior during the learning procedure. C...

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Vydáno v:	PloS one Ročník 18; číslo 3; s. e0282112
Hlavní autoři:	Bühren, Christoph, Haarde, Jan, Hirschmann, Christian, Kesten-Kühne, Janis
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 15.03.2023 Public Library of Science (PLoS)
Témata:	Agent-based models Algorithms Analysis Biology and Life Sciences Computer and Information Sciences Computer Simulation Cooperation Cooperative Behavior Data mining Economic models Economic theory Endowment Experiments Game Theory Games Human acts Human behavior Human subjects Humans Laboratories Machine learning Methods Physical Sciences Preferences Public good Punishment Research and Analysis Methods Self interest Simulation Simulation methods Social Behavior Social Behavior Disorders Social Sciences Germany
ISSN:	1932-6203, 1932-6203
On-line přístup:	Získat plný text
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