| 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.
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