Recent Dissertations ViewFinder: A Framework for Representing, Ascribing and Maintaining Nested beliefs of Interacting Agents Afzal Ballim Dept. of Computer Science, University of Geneva, Switzerland Interacting with agents in an intelligent manner means that the computer program is able to adapt itself to the specific requirements of agents. The dissertation is concerned with an important feature necessary for this ability to adapt: the use of models of the beliefs and knowledge of the interacting agents. The objective of this dissertation is to detail a theory of belief, by which is meant a theory of how the contents of nested belief models are formed.The work is motivated by (i) the aspects of representation, formation, and revision of nested belief models that have been neglected, and (ii) the lack of a unifying framework for all of these features of nested beliefs. In much research involving models of the beliefs of agents, the models used are pre-given. While this is sufficient in highly constrained domains it is inappropriate in general. In more complex domains it is necessary to dynamically generate these models. This dissertation is directly concerned with the problems of dynamically creating such nested models of the beliefs of agents.
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ViewFinder: a framework for representing, ascribing and maintaining nested beliefs of interacting agents (dissertation)
Ballim, Afzal
Follow ACM SIGART Bulletin
, Volume 4 (2)
Association for Computing Machinery – Apr 1, 1993
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