Title :
Dynamic inference of perceptual categories in negotiating agents
Author :
Grimsley, Michael ; Meehan, Anthony
Author_Institution :
Comput. & Manage. Sci., Sheffield Hallam Univ., UK
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;
Conference_Titel :
Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on
Print_ISBN :
0-7695-1931-8
DOI :
10.1109/IAT.2003.1241053