NDLI: A Fuzzy-Based Approach for Partner Selection in Multi-Agent Systems

Content Provider	IEEE Xplore Digital Library
Author	Fenghui Ren Minjie Zhang Quan Bai
Copyright Year	2007
Description	Author affiliation: Univ. of Wollongong, Wollongong (Fenghui Ren; Minjie Zhang; Quan Bai)
Abstract	Traditional negotiation approaches pay intensive attention to decision making models in order to reach the optimal agreements, while placing insufficient efforts on the problem of partner selection. In this paper, a fuzzy-based approach for partner selection in multi-agent systems is proposed. By employing both the fuzzy logic and the extended dual concern model, agents can adapt their individual behaviors for partner selection in negotiation. The proposed approach has three merits, which are: (1) both the agent's own benefit and its potential partners' benefits are considered for partner selection in negotiation; (2) by employing the extended dual concern model, agents' attitudes to its potential partners are considered for partner selection in negotiation; and (3) by employing the fuzzy logic, the proposed partner selection approach can be applied in open and dynamic environments easily and flexibly, and the selection results are much more accurate and reasonable.
Starting Page	457
Ending Page	462
File Size	432918
Page Count	6
File Format	PDF
ISBN	0769528414
DOI	10.1109/ICIS.2007.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-11
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiagent systems Fuzzy logic Collaboration Decision making Proposals Resource management Computer science Software engineering Australia Game theory fuzzy logic Multi-agent systems agent negotiation partner selection
Content Type	Text
Resource Type	Article

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