A consensus learning approach based on basic-organization-structure

Author

WANG, CHANG-YlNG ; Li, Yao ; CHEN, Wen-Wei ; GONG, YONG ; CHEN, LEI

Author_Institution

Dept. of Manage. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China

Volume

3

fYear

2002

fDate

2002

Firstpage

1577

Abstract

More and more researchers of distributed artificial intelligence (DAI) agree that there is a strong need to equip multi-agent systems with a learning mechanism so as to adapt them to a complex environment. A consensus learning approach based on basic-organization-structure (BOS) is proposed in this paper, which can improve the problem-solving abilities of individual agents and the overall system in complex multi-agent systems. Using this learning approach, agents can exchange their ideas with each other and enrich their knowledge about the domain problem. Finally, we demonstrate this consensus learning approach by an example.

Keywords

learning (artificial intelligence); multi-agent systems; problem solving; basic-organization-structure; consensus learning; distributed artificial intelligence; learning mechanism; multiagent systems; negotiation; problem-solving; Artificial intelligence; Engineering management; Environmental management; Information analysis; Learning systems; Machine learning; Multiagent systems; Problem-solving; Programming; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on

Print_ISBN

0-7803-7508-4

Type

conf

DOI

10.1109/ICMLC.2002.1167476

Filename

1167476