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Dynamic Inference of Perceptual Categories in Negotiating Agents

Grimsley, Michael and Meehan, Anthony (2003). Dynamic Inference of Perceptual Categories in Negotiating Agents. In: Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology, 13-17 Oct 2003, Halifax, Canada.

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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 t he 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 a number of possible applications are discussed. The approach offers a model of the psychological phenomenon of context sensitive categorization in humans.

Item Type: Conference or Workshop Item
Extra Information: Published by IEEE Computer Society
Keywords: Inference, Agents, Negotiation, Categorization
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 7465
Depositing User: Anthony Meehan
Date Deposited: 07 Jun 2007
Last Modified: 02 May 2018 12:44
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