Multi-Issue Agent Automatic Negotiation Based on Fuzzy Evaluation

Author

Gao Jian ; Zhang Wei

Author_Institution

Sch. of Comput. Sci. & Technol., Yantai Univ., Yantai

Volume

1

fYear

2009

fDate

7-8 March 2009

Firstpage

513

Lastpage

516

Abstract

Automatic negotiation is a key problem in the autonomous multi-agent systems (MAS). How to carry out automatic multi-issue negotiation quickly and effectively has become an important problem that we must deal with in MAS. In this paper, the well-known Bazaar negotiation model is analyzed, a new idea is proposed for solving the problem of unknown or incomplete negotiation constraint information and the fuzzy evaluation is utilized to simplify the complexity of multi-issue negotiation. The new method of multi-issue automatic negotiation is established based on fuzzy evaluation and quick evolution. The experiment indicates that this method is quick and effective.

Keywords

evolutionary computation; fuzzy set theory; multi-agent systems; Bazaar negotiation model; autonomous multiagent system; evolution algorithm; fuzzy evaluation; multiissue agent automatic negotiation; Computer science; Computer science education; Educational technology; Fuzzy systems; Humans; Information analysis; Multiagent systems; Protocols; Space technology; Keywords: multi-issue automatic negotiation; evolution algorithm; fuzzy evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-1-4244-3581-4

Type

conf

DOI

10.1109/ETCS.2009.122

Filename

4958825