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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

Offer Evaluation and Trade-Off Making in Automated Negotiation Based on Intuitionistic Fuzzy Constraints

verfasst von : Jieyu Zhan, Xudong Luo

Erschienen in: PRIMA 2016: Principles and Practice of Multi-Agent Systems

Verlag: Springer International Publishing

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Abstract

In automated negotiation, one of crucial problems is how a negotiating agent evaluates the acceptability of an offer. Most models mainly use two kinds of evaluation methods: (i) linear utility functions that depend on issues, and (ii) nonlinear utility functions that depend on crisp constraints. However, in real life, it is hard for human users to input so much and so accurate information that these evaluation methods require. To this end, this paper proposes a new approach for offer evaluation where human users are allowed to input indeterminate information. More specifically, we propose a framework of prioritised intuitionistic fuzzy constraint satisfaction problems for modelling agent’s goals. Moreover, we take both satisfaction degree and dissatisfaction degree into consideration when calculating an agent’s acceptability of an offer. Finally, we discuss how to make trade-offs via similarity measure based on intuitionistic fuzzy criteria functions.

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Vorheriges Kapitel Individually Rational Strategy-Proof Social Choice with Exogenous Indifference Sets
Nächstes Kapitel Analyzing Topics and Trends in the PRIMA Literature
Fußnoten
1
The negotiation strategy is an important component of an negotiating agent. However, in this paper, the main purpose is to propose a new way of offer evaluation, rather than constructing negotiation strategies. So, we will not detail the strategies in the subsequent part of this paper.
 
Literatur
1.
Amgoud, L., Vesic, S.: A formal analysis of the outcomes of argumentation-based negotiations. In: Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems, pp. 1237–1238 (2011)
2.
3.
Baarslag, T., Fujita, K., Gerding, E.H., Hindriks, K., Ito, T., Jennings, N.R., Jonker, C., Kraus, S., Lin, R., Robu, V., et al.: Evaluating practical negotiating agents: results and analysis of the 2011 international competition. Artif. Intell. 198, 73–103 (2013)CrossRef
4.
Baarslag, T., Hindriks, K., Jonker, C.: Acceptance conditions in automated negotiation. In: Ito, T., Zhang, M., Robu, V., Matsuo, T. (eds.) Complex Automated Negotiations: Theories, Models, and Software Competitions. SCI, vol. 435, pp. 95–111. Springer, Heidelberg (2012)CrossRef
5.
Cao, M., Luo, X., Luo, X.R., Dai, X.: Automated negotiation for e-commerce decision making: a goal deliberated agent architecture for multi-strategy selection. Decis. Support Syst. 73, 1–14 (2015)CrossRef
6.
Davis, R., Smith, R.G.: Negotiation as a metaphor for distributed problem solving. Artif. Intell. 20(1), 63–109 (1983)CrossRef
7.
Faratin, P., Sierra, C., Jennings, N.R.: Using similarity criteria to make issue trade-offs in automated negotiations. Artif. Intell. 142(2), 205–237 (2002)MathSciNetCrossRef
8.
Fujita, K., Ito, T., Klein, M.: Efficient issue-grouping approach for multiple interdependent issues negotiation between exaggerator agents. Decis. Support Syst. 60, 10–17 (2014)CrossRef
9.
Hadfi, R., Ito, T.: On the complexity of utility hypergraphs. In: Fukuta, N., Ito, T., Zhang, M., Fujita, K., Robu, V. (eds.) Recent Advances in Agent-based Complex Automated Negotiation. SCI, vol. 638, pp. 89–105. Springer, Heidelberg (2016)CrossRef
10.
Hadidi, N., Dimopoulos, Y., Moraitis, P.: Argumentative alternating offers. In: Proceedings of the 9th International Conference on Autonomous Agents and Multi-agent Systems, pp. 441–448 (2010)
11.
Ito, T., Hattori, H., Klein, M., Multi-issue negotiation protocol for agents: exploring nonlinear utility spaces. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence, pp. 1347–1352 (2007)
12.
Jennings, N.R., Faratin, P., Lomuscio, A.R., Parsons, S., Wooldridge, M.J., Sierra, C.: Automated negotiation: prospects, methods and challenges. Group Decis. Negot. 10(2), 199–215 (2001)CrossRef
13.
Klein, M., Faratin, P., Sayama, H., Bar-Yam, Y.: Negotiating complex contracts. Group Decis. Negot. 12(2), 111–125 (2003)CrossRefMATH
14.
Kumar, V.: Algorithms for constraint-satisfaction problems: a survey. AI Mag. 13(1), 32 (1992)
15.
Le, D.T., Zhang, M., Ren, F.: A relaxation strategy with fuzzy constraints for supplier selection in a power market. In: Bai, Q., Ren, F., Zhang, M., Ito, T., Tang, X. (eds.) Smart Modeling Simulation for Complex Systems: Practice and Theory. SCI, vol. 564, pp. 83–97. Springer, Heidelberg (2015)
16.
Luo, X., Jennings, N.R., Shadbolt, N.: Acquiring user tradeoff strategies and preferences for negotiating agents: a default-then-adjust method. Int. J. Hum.-Comput. Stud. 64(4), 304–321 (2006)CrossRef
17.
Luo, X., Jennings, N.R., Shadbolt, N., Leung, H.-F., Lee, J.H.-M.: A fuzzy constraint based model for bilateral, multi-issue negotiations in semi-competitive environments. Artif. Intell. 148(1), 53–102 (2003)MathSciNetCrossRefMATH
18.
Luo, X., Lee, J.H.-M., Leung, H.-F., Jennings, N.R.: Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation. Fuzzy Sets Syst. 136(2), 151–188 (2003)MathSciNetCrossRefMATH
19.
Luo, X., Miao, C., Jennings, N.R., He, M., Shen, Z., Zhang, M.: KEMNAD: a knowledge engineering methodology for negotiating agent development. Comput. Intell. 28(1), 51–105 (2012)MathSciNetCrossRef
20.
Marey, O., Bentahar, J., Dssouli, R., Mbarki, M.: Measuring and analyzing agents uncertainty in argumentation-based negotiation dialogue games. Expert Syst. Appl. 41(2), 306–320 (2014)CrossRef
21.
Marey, O., Bentahar, J., En-Nouaary, A.: On the measurement of negotiation dialogue games. In: Proceedings of the International Conference on Intelligent Software Methodologies, Tools and Techniques, pp. 223–244 (2009)
22.
Mbarki, M., Marey, O., Bentahar, J., Sultan, K.: Agent types and adaptive negotiation strategies in argumentation-based negotiation. In: Proceedings of the 26th International Conference on Tools with Artificial Intelligence, pp. 485–492 (2014)
23.
Rahwan, I., Ramchurn, S.D., Jennings, N.R., Mcburney, P., Parsons, S., Sonenberg, L.: Argumentation-based negotiation. Knowl. Eng. Rev. 18(04), 343–375 (2003)CrossRef
24.
Ruttkay, Z.: Fuzzy constraint satisfaction. In: Proceedings of the Third IEEE Conference on Fuzzy Systems, pp. 1263–1268 (1994)
25.
26.
Zhan, J., Zhang, M., Ren, F., Luo, X.: A negotiation-based model for policy generation. In: Proceedings of the 8th International Workshop on Agent-Based Complex Automated Negotiation, pp. 50–57 (2015)
Metadaten
Titel
Offer Evaluation and Trade-Off Making in Automated Negotiation Based on Intuitionistic Fuzzy Constraints
verfasst von
Jieyu Zhan
Xudong Luo
Copyright-Jahr
2016
Buch
PRIMA 2016: Principles and Practice of Multi-Agent Systems

Print ISBN: 978-3-319-44831-2

Electronic ISBN: 978-3-319-44832-9

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-44832-9_12