Title:

Artificial adaptive agent model characterized by learning and fairness in the ultimatum games, Journal of Telecommunications and Information Technology, 2007, nr 4

Creator:

Nishizaki, Ichiro ; Katagiri, Hideki ; Hayashida, Tomohiro

Subject and Keywords:

silicon germanium ; modeling ; kinetics ; oxidation ; silicon

Description:

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.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Date:

2007, nr 4

Resource Type:

artykuł

Format:

application/pdf

DOI:

10.26636/jtit.2007.4.849

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności