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On possibilistic case-based reasoning for selecting partners for multi-attribute agent negotiation

Published: 25 July 2005 Publication History

Abstract

We propose an enhanced mechanism for selecting partners for multi-attribute negotiation. The mechanism employs possibilistic case-based reasoning. The possibility of successful negotiation for each potential partner is predicted on the basis of its behaviour in previous multi-attribute negotiations. The qualitative expected utility for each potential partner is derived and the agents are ordered according to the values of these utilities. The order determines who is more and who is less desirable partner for negotiation. The proposed approach allows choosing the most prospective negotiation partners based on small sample of historical cases of previous interactions even if the previous situations are different from the current one. A simple example of calculations is presented to demonstrate the proposed approach.

References

[1]
B. Banerjee and S. Sen. Selecting partners. In C. Sierra, M. Gini, and J. S. Rosenschein, editors, Proceedings of the Fourth International Conference on Autonomous Agents, pages 261--262, Barcelona, Catalonia, Spain, 2000. ACM Press.
[2]
J. Brzostowski and R. Kowalczyk. On possibilistic case-based reasoning for selecting partners in multi-agent negotiation. In G. Webb and X. Yu, editors, Proceedings of the 17th Australian Joint Conference on Artificial Inltelligence, page in press, Cairns, Australia, 2004. Springer.
[3]
D. Dubois and H. Prade. Possibility theory as a basis for qualitative decision theory. In C. Mellish, editor, Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, pages 1924--1930, San Francisco, 1995. Morgan Kaufmann.
[4]
D. Dubois and H. Prade. Fuzzy set modelling in case-based reasoning. International Journal of Intelligent Systems, 13:345--373, 1998.
[5]
S. S. Fatima, M. Wooldridge, and N. R. Jennings. The influence of information on negotiation equlibrium. In Proc 4th Int Workshop on Agent-Mediated Electronic Commerce, Bologna, Italy, pages 180--193, 2002.
[6]
P. Garcia, E. Gimenez, and L. G. amd J. A. Rodriguez-Aguilar. Possibilistic-based design of bidding strategies in electronic auctions. In Proceedings of the Thirteen European Conference on Artificial Intelligence, pages 575--579, 1998.
[7]
E. Gimenez-Funes, L. Godo, J. A. Rodriguez-Aguilar, and P. Garcia-Calves. Designing bidding strategies for trading agents in electronic auctions. In Proceedings of the Third International Conference on Multi-Agent Systems, pages 136--143, 1998.
[8]
L. Godo and A. Zapico. On the possibilistic-based decision model: Characterization of preference relations under partial inconsistency. The Int. J. of Artificial Intelligence, Neural networks, and Complex Problem-Solving Technologies, 14(3):319--333, 2001.
[9]
N. R. Jennings, P. Faratin, A. Lomuscio, S. Parson, C. Sierra, and M. Wooldridge. Automated negotiation: Prospects, methods and challenges. International Journal of Group Decision and Negotiation, 10(2):199--215, 2001.
[10]
M. Klusch and A. Gerber. Dynamic coalition formation among rational agents. IEEE Intelligent Systems, 17:42--47, 2002.
[11]
T. Sandholm and V. R. Lesser. Coalitions among computationally bounded agents. Artificial Intelligence, 94(1--2):99--137, 1997.

Cited By

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  • (2017)A Concurrent Multiple Negotiation Protocol Based on Colored Petri NetsIEEE Transactions on Cybernetics10.1109/TCYB.2016.257763547:11(3692-3705)Online publication date: Nov-2017
  • (2010)Optimization of multiple related negotiation through multi-negotiation networkProceedings of the 4th international conference on Knowledge science, engineering and management10.5555/1885721.1885739(174-185)Online publication date: 1-Sep-2010
  • (2010)A multistage fuzzy decision approach for modelling adaptive negotiation strategiesInternational Conference on Fuzzy Systems10.1109/FUZZY.2010.5584295(1-8)Online publication date: Jul-2010
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  1. On possibilistic case-based reasoning for selecting partners for multi-attribute agent negotiation

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    cover image ACM Conferences
    AAMAS '05: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
    July 2005
    1407 pages
    ISBN:1595930930
    DOI:10.1145/1082473
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 25 July 2005

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    Author Tags

    1. case-based reasoning
    2. possibility theory

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    View all
    • (2017)A Concurrent Multiple Negotiation Protocol Based on Colored Petri NetsIEEE Transactions on Cybernetics10.1109/TCYB.2016.257763547:11(3692-3705)Online publication date: Nov-2017
    • (2010)Optimization of multiple related negotiation through multi-negotiation networkProceedings of the 4th international conference on Knowledge science, engineering and management10.5555/1885721.1885739(174-185)Online publication date: 1-Sep-2010
    • (2010)A multistage fuzzy decision approach for modelling adaptive negotiation strategiesInternational Conference on Fuzzy Systems10.1109/FUZZY.2010.5584295(1-8)Online publication date: Jul-2010
    • (2010)Optimization of Multiple Related Negotiation through Multi-Negotiation NetworkKnowledge Science, Engineering and Management10.1007/978-3-642-15280-1_18(174-185)Online publication date: 2010
    • (2010)A negotiation based approach for service compositionProceedings of the 5th international conference on Global Perspectives on Design Science Research10.1007/978-3-642-13335-0_26(381-393)Online publication date: 4-Jun-2010
    • (2008)Partners selection in multi-agent systems by using linear and non-linear approachesTransactions on computational science I10.5555/1805820.1805823(37-60)Online publication date: 1-Jan-2008
    • (2008)A decentralized model for automated multi-attribute negotiations with incomplete information and general utility functionsMultiagent and Grid Systems10.5555/1378675.13786774:1(45-65)Online publication date: 1-Jan-2008
    • (2008)Partners Selection in Multi-Agent Systems by Using Linear and Non-linear ApproachesTransactions on Computational Science I10.1007/978-3-540-79299-4_2(37-60)Online publication date: 2008
    • (2008)Shaman: Software and Human Agents in Multiattribute Auctions and NegotiationsNegotiation, Auctions, and Market Engineering10.1007/978-3-540-77554-6_9(116-149)Online publication date: 2008
    • (2008)Experimental Evaluation of Possibilistic Mechanism for Negotiation Partners SelectionRational, Robust, and Secure Negotiations in Multi-Agent Systems10.1007/978-3-540-76282-9_8(127-145)Online publication date: 2008
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