Realizing Functional Localization Using Genetic Network Programming with Importance Index-Reference-Cited by-同舟云学术

Realizing Functional Localization Using Genetic Network Programming with Importance Index

Published:2006-07-20 Issue:4 Volume:10 Page:555-566
ISSN:1883-8014
Container-title:Journal of Advanced Computational Intelligence and Intelligent Informatics
language:en
Short-container-title:JACIII

Author:

Eto Shinji, ,Hatakeyama Hiroyuki,Mabu Shingo,Hirasawa Kotaro,Hu Jinglu

Abstract

Many methods of generating behavior sequences of agents by evolution have been reported. A new evolutionary computation method named Genetic Network Programming (GNP) has also been developed recently along with these trends. The aim of this paper is to build an artificial model to realize functional localization of GNP considering the fact that the functional localization of the brain is realized in such a way that a different part of the brain corresponds to a different function. In this paper, it is especially stated that the switching function for functional localization can be realized using GNP with Importance Index (GNP IMX).

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

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