• DocumentCode
    2223340
  • Title

    Dynamic inference of perceptual categories in negotiating agents

  • Author

    Grimsley, Michael ; Meehan, Anthony

  • Author_Institution
    Comput. & Manage. Sci., Sheffield Hallam Univ., UK
  • fYear
    2003
  • fDate
    13-16 Oct. 2003
  • Firstpage
    89
  • Lastpage
    95
  • Abstract
    In this paper, we describe an approach by which one agent may infer the categorical preference structure of another agent in relation to a set of alternative proposals made in negotiation. The categorical preferences are inferred over a sequence of proposals, as preferences are disclosed one at a time. We seek to avoid strong ontological commitment between the agents, making only minimal assumptions about shared representations of the set of alternatives. We adopt a multidimensional representation that avoids the common, but rarely plausible, assumption of issue independence. An illustration of the approach is included and possible applications are discussed.
  • Keywords
    inference mechanisms; multi-agent systems; negotiation support systems; categorical preference; computational agents; dynamic inference; multidimensional representation; negotiating agents; shared representation; Computational modeling; Design engineering; Humans; Maintenance engineering; Multidimensional systems; Ontologies; Proposals; Psychology; Space technology; Spirals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on
  • Print_ISBN
    0-7695-1931-8
  • Type

    conf

  • DOI
    10.1109/IAT.2003.1241053
  • Filename
    1241053