Competition and mutualism in a simulation of adaptive artificial organisms

Author

Nagahashi, Hiroshi ; Niwa, Akihiro ; Agui, Takeshi

Author_Institution

Interdisciplinary Graduate Sch. of Sci. & Eng., Tokyo Inst. of Technol., Yokohama, Japan

Volume

2

fYear

1995

fDate

29 Nov-1 Dec 1995

Firstpage

695

Abstract

In the field of artificial life, evolutionary programming like genetic programming is a well known approach to the “central place food foraging” problem of artificial organisms. In most of these approaches, the organisms follow the same strategy. In this paper, an artificial organism is modeled with a classifier system, and the process of acquiring cooperative behavior is simulated by putting different kinds of organisms in an area. In the experiments, it is observed that one type of organism cooperates with another type of organism to protect their lives

Keywords

artificial intelligence; biocybernetics; cooperative systems; genetic algorithms; adaptive artificial organisms; artificial life; artificial organisms; central place food foraging; cooperative behavior; evolutionary programming; Ant colony optimization; Artificial neural networks; Computational modeling; Ecosystems; Food technology; Genetic algorithms; Genetic programming; Organisms; Protection; Sensor arrays;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 1995., IEEE International Conference on

Conference_Location

Perth, WA

Print_ISBN

0-7803-2759-4

Type

conf

DOI

10.1109/ICEC.1995.487469

Filename

487469