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 fairnes...

Full description

Saved in:
Bibliographic Details
Published inJournal of Telecommunications and Information Technology no. 4; pp. 36 - 44
Main Authors Hayashida, Tomohiro, Nishizaki, Ichiro, Katagiri, Hideki
Format Journal Article
LanguageEnglish
Published National Institute of Telecommunications 01.06.2023
Subjects
artificial adaptive agents
behavior of players
games
simulation
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:1509-4553
1899-8852
DOI:10.26636/jtit.2007.4.849