Functional localization of genetic network programming and its application to a pursuit problem

Author

Eto, Shinji ; Hirasawa, Kotaro ; Hu, Jinglu

Author_Institution

Graduate Sch. of Inf., Production & Syst., Waseda Univ., Tokyo, Japan

Volume

1

fYear

2004

fDate

19-23 June 2004

Firstpage

683

Abstract

According to the knowledge of brain science, it is suggested that there exists cerebral functional localization, which means that a specific part of the cerebrum is activated depending on various kinds of information human receives. The aim of this paper is to build an artificial model to realize functional localization based on genetic network programming (GNP), a new evolutionary computation method recently developed. GNP has a directed graph structure suitable for realizing functional localization. We studied the basic characteristics of the proposed system by making GNP work in a functionally localized way.

Keywords

directed graphs; genetic algorithms; multi-agent systems; brain science; cerebral functional localization; directed graph; evolutionary computation; genetic network programming; multiagent systems; pursuit problem; Algorithm design and analysis; Decision making; Economic indicators; Evolutionary computation; Functional programming; Genetic programming; Humans; Multiagent systems; Performance evaluation; Production systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2004. CEC2004. Congress on

Print_ISBN

0-7803-8515-2

Type

conf

DOI

10.1109/CEC.2004.1330925

Filename

1330925