Title: A Framework for Multi-Agent Belief Revision, Part II: A Layered Model and Shared Knowledge Structure
Authors: Wei Liu and Mary-Anne Williams
Series: Linköping Electronic Articles in Computer and Information Science
ISSN 1401-9841
Issue: Vol. 5 (2000), No. 021
URL: http://www.ep.liu.se/ea/cis/2000/021/

Abstract: In this paper, a framework of a belief revision agent in a multi-agent environment is presented. In the agent knowledge kernel, by separating domain knowledge from social knowledge, various level of belief revision capabilities has been modularized into multiple interactive layers. A vertical 4-layer 2-pass architecture is adopted for the BR engine. Therefore, the framework can model various levels of belief revision, including Single Belief Revision, BR using information from Multiple Sources and Multi-Agent Belief Revision. In order to achieve multi-agent belief revision in a heterogenous society, a Shared Knowledge Structure(SKS) is proposed, which allows the sharing of knowledge as well as protecting private knowledge. Using graded knowledge in the SKS, the process of multi-agent belief revision is implemented using knowledge migration, which is the procedure that reshapes the knowledge structure triggered by the new information.

First posting
In ETAI Newsletter and Decision and Reasoning under Uncertainty
Original publication
Postscript part I -- Checksum
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Postscript part II -- Checksum II
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