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Title: A general framework of agent-based simulation for analyzing behavior of players in games, Journal of Telecommunications and Information Technology, 2007, nr 4

Creator:

Nishizaki, Ichiro

Date:

2007, nr 4

Resource Type:

artykuł

Description:

In this paper, we give a general framework of agent-based simulation for analyzing behavior of players in various types of games. In our simulation model, artificial adaptive agents have a mechanism of decision making and learning based on neural networks and genetic algorithms. The synaptic weights and thresholds characterizing the neural network of an artificial agent are revised in order that the artificial agent obtains larger payoffs through a genetic algorithm. The proposed framework is illustrated with two examples, and, by giving some simulation result, we demonstrate availability of the simulation analysis by the proposed framework of agent-based simulation, from which a wide variety of simulation settings can be easily implemented and detailed data and statistics are obtained.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

oai:bc.itl.waw.pl:303

DOI:

10.26636/jtit.2007.4.848

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

simulation games behavior of players artificial adaptive agents

Object collections:

Last modified:

Aug 5, 2024

In our library since:

Jan 29, 2010

Number of object content hits:

177

All available object's versions:

https://bc.itl.waw.pl/publication/347

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Edition name Date
Nishizaki, Ichiro, A general framework of agent-based simulation for analyzing behavior of players in games, Journal of Telecommunications and Information Technology, 2007, nr 4 Aug 5, 2024

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