Opis wydania
Artificial adaptive agent model characterized by learning and fairness in the ultimatum games, Journal of Telecommunications and Information Technology, 2007, nr 4
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Opis : 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 fairness. In our agent-based simulation system, mechanisms of decision making and learning are constructed on the basis of neural networks and genetic algorithms.
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