Learning of biological behaviour by classifier

Author

Kanoh, Hideaki ; Hosokawa, Akihiro

Author_Institution

Sch. of Sci. & Technol., Meiji Univ., Kawasaki, Japan

fYear

2001

fDate

2001

Firstpage

228

Lastpage

233

Abstract

This paper investigates biological features of a virtual creature on the computer. It is assumed that the creature does not have a complex judgement, a sophisticated detector and has simple basic actions. The classifier system is used for the generation of its behaviour in a complicated environment made in the computer. The results show that the complicated action is generated by a series of simple actions, and that the complex action depends on a complex environment (attraction to the bait, escape from the enemy and avoidance of the obstacle), the aspect of acquisition of the new behaviour pattern is examined in detail

Keywords

artificial life; evolutionary computation; learning (artificial intelligence); pattern classification; attraction to bait; avoidance of obstacles; behaviour pattern; biological behaviour; bucket brigade; classifier; classifier system; complex action; complex environment; escape from enemy; genetic algorithm; learning; simple basic actions; virtual creature; Animals; Biology computing; Constitution; Detectors; Genetic algorithms; Insects; Research and development; Virtual environment;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, International Workshop on, 2001.

Conference_Location

Crimea

Print_ISBN

0-7803-7164-X

Type

conf

DOI

10.1109/IDAACS.2001.942019

Filename

942019