Tytuł:

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

Autor:

Nishizaki, Ichiro ; Katagiri, Hideki ; Hayashida, Tomohiro

Temat i słowa kluczowe:

silicon germanium ; modeling ; kinetics ; oxidation ; silicon

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.

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Data wydania:

2007, nr 4

Typ zasobu:

artykuł

Format:

application/pdf

DOI:

10.26636/jtit.2007.4.849

ISSN:

1509-4553

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności