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Title: 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

Data wydania:

2007, nr 4

Typ zasobu:

artykuł

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

Format:

application/pdf

Identyfikator zasobu:

oai:bc.itl.waw.pl:304

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

Subject and keywords:

silicon germanium modeling kinetics oxidation silicon

Object collections:

Last modified:

5 sie 2024

In our library since:

29 sty 2010

Number of object content hits:

328

All available object's versions:

https://bc.itl.waw.pl/publication/348

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Edition name Date
Hayashida, Tomohiro; Nishizaki, Ichiro; Katagiri, Hideki, Artificial adaptive agent model characterized by learning and fairness in the ultimatum games, Journal of Telecommunications and Information Technology, 2007, nr 4 5 sie 2024

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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

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