• DocumentCode
    480837
  • Title

    Characterizing the Outcomes of Argumentation-Based Integrative Negotiation

  • Author

    Dimopoulos, Yannis ; Moraitis, Pavlos ; Amgoud, Leila

  • Author_Institution
    Univ. of Cyprus, Nicosia
  • Volume
    2
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    456
  • Lastpage
    460
  • Abstract
    In the negotiation literature we find two relatively distinct types of negotiation. The two types are known as integrative negotiations and distributive negotiations. Integrative negotiations are those where all sides are looking for solutions that are "good" for everyone while distributive negotiations are those where each party tries to maximize his gain. In this paper we are interested in argumentation- based integrative negotiations. More precisely we present a study characterizing the outcomes of such negotiations. For this reason, we aggregate the argumentation systems that the agents use in order to negotiate. The aggregate argumentation system represents the negotiation theory of the agents as a group and corresponds to the "ideal" situation of having access to complete information or negotiating through a mediator. We show that the aggregation operator we use is very suitable for capturing the essence of integrative negotiation as the outcomes of the aggregate theory we obtain have many appealing properties (e.g. they are Pareto optimal solutions).
  • Keywords
    inference mechanisms; multi-agent systems; Pareto optimal solution; aggregate theory; argumentation-based integrative negotiation; distributive negotiation; negotiation literature; Aggregates; Character generation; Intelligent agent; Multiagent systems; Argumentation; Negotiation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3496-1
  • Type

    conf

  • DOI
    10.1109/WIIAT.2008.347
  • Filename
    4740666