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
1999-04-06
In ETAI Newsletter and Decision and Reasoning under Uncertainty
Original publication
2000-12-21
Postscript part I -- Checksum
Checksum (old) Information about recalculation of checksum
Postscript part II -- Checksum II
Checksum II (old) Information about recalculation of checksum

This article was first posted on the Internet as specified under "First posting", and appeared on the E-press server on the date specified under "Original publication".