Title :
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
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;
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
Print_ISBN :
0-7803-4423-5
DOI :
10.1109/ISIC.1998.713812
