Co-evolution of Hetero Multiagent Systems using Genetic Network Programming.

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  • Hirasawa Kotaro
    Graduate School of Information, Production and Systems, Waseda University
  • Okubo Masafumi
    Graduate School of Information Science and Electrical Engineering, Kyusyu University
  • Hu Jinglu
    Graduate School of Information Science and Electrical Engineering, Kyusyu University
  • Murata Junichi
    Graduate School of Information Science and Electrical Engineering, Kyusyu University
  • Matsuya Yuko
    Graduate School of Information Science and Electrical Engineering, Kyusyu University

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  • Ｇｅｎｅｔｉｃ　Ｎｅｔｗｏｒｋ　Ｐｒｏｇｒａｍｍｉｎｇによるヘテロマルチエージェントシステムの構成
  • Genetic Network Programming ニ ヨル ヘテロマルチエージェント システム ノ コウセイ

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Abstract

Recently, many methods of evolutionary computation such as Genetic Algorithm(GA) and Genetic Programming(GP) have been developed as a basic tool for modeling and optimizing complex systems. GA has the genome of string structure, while the genome in GP is of tree structure. In this paper, a new evolutionary method named Genetic Network Programming(GNP), whose genome has network structure is applied to multiagent sysytems. Hetero Multiagent Sysytems with GNP are studied, where each agent of the same group has its own GNP program in order to build the adaptive agents against changing environments. Specifically, the comparison between Hetero Multiagent Systems and conventional Homo Multiagent Sysytems is carried out in simulations on ants behaviors.

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