Self adaptation of agent´s behavior using GA with n-BDD

Author

Moriwaki, Kousuke ; Inuzuka, Nobuhiro ; Yamada, Masashi ; Itoh, Ken-ichi ; Seki, Hirohisa ; Itoh, Hidenori

Author_Institution

Dept. of Intell. & Comput. Sci., Nagoya Inst. of Technol., Japan

fYear

1996

fDate

11-14 Nov 1996

Firstpage

96

Lastpage

101

Abstract

A gene expression n-BDD (binary decision diagram) is proposed in the paper. The gene expression is suitable for agent models to decide agent´s behavior using information from environment. We can apply genetic algorithm to evolve behavior of agents. A simulator of a quasi-ecosystem developed using the gene expression is described. In the quasi-ecosystem, a herbivore, a carnivore and plants make a food chain. A herbivore using an n-BDD more rapidly acquire its ability to survive from a carnivore than using finite state automaton

Keywords

adaptive systems; cooperative systems; decision theory; directed graphs; ecology; genetic algorithms; GA; binary decision diagram; carnivore; finite state automaton; food chain; gene expression n-BDD; genetic algorithm; herbivore; plants; quasi-ecosystem simulation; self adaptation; vegetation; Animals; Automata; Binary decision diagrams; Biological system modeling; Computer science; Electronic mail; Gene expression; Genetic algorithms; Intelligent agent; Paper technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Robot and Human Communication, 1996., 5th IEEE International Workshop on

Conference_Location

Tsukuba

Print_ISBN

0-7803-3253-9

Type

conf

DOI

10.1109/ROMAN.1996.568769

Filename

568769