Evolution-based self-adaption as an expression for the autonomy degree in multi-agent societies

Author

Gerber, Christian

Author_Institution

German Res. Center for Artificial Intelligence, Saarbrucken, Germany

fYear

1998

fDate

14-17 Sep 1998

Firstpage

741

Lastpage

746

Abstract

This work focuses on the development of a method to allow multi-agent systems (MAS) to configure themselves to any application scale and nature. We describe an evolutionary approach to achieve a dynamic adaption of an artificial agent society to environment changes which makes a former efficient society structure suboptimal. Due to the inherent autonomy property of agents this self-adapting mechanism turns out to be an instrument to restrict the autonomy. Therefore, this mechanism provides an internal representation of the degree of agent autonomy in a multi-agent system

Keywords

genetic algorithms; multi-agent systems; self-adjusting systems; autonomy; evolutionary algorithm; multiple agent system; optimisation; self organization; self-adaption; semiotics; society structure; Artificial intelligence; Evolutionary computation; Humans; Instruments; Large-scale systems; Mechanical factors; Medical services; Multiagent systems; Organizing; Sociology;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings

Conference_Location

Gaithersburg, MD

ISSN

2158-9860

Print_ISBN

0-7803-4423-5

Type

conf

DOI

10.1109/ISIC.1998.713812

Filename

713812