[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5391/IJFIS.2005.5.4.302

Evolution of the Behavioral Knowledge for a Virtual Robot

Hwang Su-Chul (Inha Tech. College)
Cho Kyung-Dal (Inha Tech. College)

Publication Information

International Journal of Fuzzy Logic and Intelligent Systems / v.5, no.4, 2005 , pp. 302-309 More about this Journal

Abstract

We have studied a model and application that evolves the behavioral knowledge of a virtual robot. The knowledge is represented in classification rules and a neural network, and is learned by a genetic algorithm. The model consists of a virtual robot with behavior knowledge, an environment that it moves in, and an evolution performer that includes a genetic algorithm. We have also applied our model to an environment where the robots gather food into a nest. When comparing our model with the conventional method on various test cases, our model showed superior overall learning.

Keywords

Classification Rule; Neural Network; Genetic algorithms; Artificial life;

Citations & Related Records

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