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Simulated Negotiation Outcomes Through Recommendation Crowding

Author

Listed:
  • Tomasz Szapiro

    (Warsaw School of Economics)

  • Przemysław Szufel

    (Warsaw School of Economics)

Abstract

The goal of the paper is to propose a method for finding outcomes of negotiations of multiple parties with a multi-criteria decision outcomes evaluation. Firstly, the procedure for reduction of continuous set of options to large but finite crowd of compromise recommendations is presented. Next, the crowd is integrated to a single benchmark which is treated as a proposal of artificial auxiliary player called a lone wolf as presented by Kersten and Szapiro (Proceedings of the international conference of the society of systems and science. Budapest, 1987). The strategy of negotiation with this artificial player is proposed to generate a benchmark evaluations scheme for real negotiation. Finally, a multi-agent simulation approach for multi-lateral negotiation process modeling is presented in order to estimate possible negotiation outcomes.

Suggested Citation

  • Tomasz Szapiro & Przemysław Szufel, 2014. "Simulated Negotiation Outcomes Through Recommendation Crowding," Group Decision and Negotiation, Springer, vol. 23(3), pages 443-461, May.
    • Handle: RePEc:spr:grdene:v:23:y:2014:i:3:d:10.1007_s10726-013-9364-4
    DOI: 10.1007/s10726-013-9364-4
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    References listed on IDEAS

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    1. Wojtek Michalowski & Tomek Szapiro, 1992. "A Bi-Reference Procedure for Interactive Multiple Criteria Programming," Operations Research, INFORMS, vol. 40(2), pages 247-258, April.
    2. Kersten, Gregory E. & Szapiro, Tomasz, 1986. "Generalized approach to modeling negotiations," European Journal of Operational Research, Elsevier, vol. 26(1), pages 142-149, July.
    3. Reilly, Robert J, 1982. "Preference Reversal: Further Evidence and Some Suggested Modifications in Experimental Design," American Economic Review, American Economic Association, vol. 72(3), pages 576-584, June.
    4. Gerald W. Evans, 1984. "An Overview of Techniques for Solving Multiobjective Mathematical Programs," Management Science, INFORMS, vol. 30(11), pages 1268-1282, November.
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