Eliminating Interdependencies Between Issues for Multi-issue Negotiation

  • Koen Hindriks
  • Catholijn M. Jonker
  • Dmytro Tykhonov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4149)


In multi-issue negotiations, issues may be negotiated independently or not. In the latter case, the utility associated with one issue depends on the value of another. These issue dependencies give rise to more complex, non-linear utility spaces. As a consequence, the computational cost and complexity of negotiating interdependent issues is increased significantly compared to the case of independent issues. Several techniques have been proposed to deal with this increased complexity, including, for example, introducing a mediator in the negotiation setting. In this paper, we propose an alternative approach based on a weighted approximation technique to simplify the utility space. We show that given certain natural assumptions about the outcome of negotiation the application of this technique results in an outcome that closely matches with the outcome based on the original, interdependent utility structure. Moreover, using the approximated utility structure, each of the issues can be negotiated independently which ensures that the negotiation is computationally tractable. The approach is illustrated by applying and testing it in a case study.


Child Care Negotiation Strategy Utility Space Negotiation Outcome Weighted Average Method 
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  1. 1.
    Bar-Yam, Y.: Dynamics of complex systems. Addison-Wesley, Reading (1997)MATHGoogle Scholar
  2. 2.
    Barbuceanu, M., Lo, W.K.: Multi-attribute Utility Theoretic Negotiation for Electronic Commerce. In: Dignum, F.P.M., Cortés, U. (eds.) AMEC 2000. LNCS, vol. 2003, pp. 15–30. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  3. 3.
    Binmore, K.: Fun and Games: A Text on Game Theory. DC Heath and Company, Lexington (1992)MATHGoogle Scholar
  4. 4.
    Jonker, C.M., Treur, J.: An Agent Architecture for Multi-Attribute Negotiation. In: Nebel, B. (ed.) Proceedings of the 17th International Joint Conference on AI, IJCAI 2001, pp. 1195–1201 (2001)Google Scholar
  5. 5.
    Klein, M., Faratin, P., Sayama, H., Bar-Yam, Y.: Negotiating Complex Contracts. In: Autonomous Agents and Multi-Agent Systems. AAAI Press, Bologna (2002); Paper 125 of the Center for eBusines@MIT, http://ebusiness.mit.edu
  6. 6.
    Lai, G., Li, C., Sycara, K., Giampapa, J.: Literature Review on Multi-attribute Negotiations. Technical Report CMU-RI-TR-04-66, Cornegie Mellon University, Robotics Institute (2004)Google Scholar
  7. 7.
    Pruitt, D.G.: Negotiation Behavior. Academic Press, London (1981)Google Scholar
  8. 8.
    Raiffa, H., Richardson, J., Metcalfe, D.: Negotiation Analysis: The Science and Art of Collaborative Decision Making. Belknap Press of Harvard University Press, Cambridge (2002)Google Scholar
  9. 9.
    Robu, V., Somefun, D.J.A., La Poutre, J.A.: Complex Multi-Issue Negotiations Using Utility Graphs. In: Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2005), Utrecht, The Netherlands, pp. 280–287 (July 2005)Google Scholar
  10. 10.
    Rosenschein, J.S., Zlotkin, G.: Rules of Encounter: Designing Conventions for Automated Negotiation Among Computers. MIT Press, Cambridge (1994)Google Scholar
  11. 11.
    Sierra, C., Faratin, P., Jennings, N.R.: A service-oriented negotiation model between autonomous agents. In: Boman, M., Van de Velde, W. (eds.) MAAMAW 1997. LNCS, vol. 1237, pp. 17–35. Springer, Heidelberg (1997)Google Scholar
  12. 12.
    Thompson, L.: The Mind and Heart of the Negotiator. Prentice-Hall, Englewood Cliffs (2000)Google Scholar
  13. 13.
    Wang, I.-J., Chong, E.K.P., Kulkarni, S.R.: Weighted Averaging and Stochastic Approximation. In: Proceeding of the 35th Conference on Decision and Control, Kobe, Japan, pp. 1071–1076 (December 1996)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Koen Hindriks
    • 1
  • Catholijn M. Jonker
    • 1
  • Dmytro Tykhonov
    • 1
  1. 1.Nijmegen Institute for Cognition and InformationRadboud UniversityNijmegenThe Netherlands

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