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A fuzzy-based approach for partner selection in multi-agent systems

Citation

Ren, F and Zhang, M and Bai, Q, A fuzzy-based approach for partner selection in multi-agent systems, Proceedings of the 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 11-13 July 2007, Melbourne, Australia, pp. 457-462. ISBN 9780769528410 (2007) [Refereed Conference Paper]

Copyright Statement

Copyright IEEE 2007

DOI: doi:10.1109/ICIS.2007.21

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 purine r 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 aund dynamic environments easily and flexibly, and the selection results are much more accurate and reasonable.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Intelligent robotics
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Application software packages
UTAS Author:Bai, Q (Dr Quan Bai)
ID Code:140729
Year Published:2007
Web of Science® Times Cited:5
Deposited By:Information and Communication Technology
Deposited On:2020-09-02
Last Modified:2020-12-18
Downloads:0

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