Propositional knowledge base revision and minimal change
Artificial Intelligence
Reasoning about knowledge
On the logic of iterated belief revision
Artificial Intelligence
Quatum logic, Hilbert space, revision theory
Artificial Intelligence
Reasoning about Information Change
Journal of Logic, Language and Information
On a Linear Representation Theory for Quantitative Belief Change
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Formal Model of Multi-Agent Belief-Interaction
Journal of Logic, Language and Information
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In this paper, we discuss the dynamics of multi-agent belief change in the framework of linear algebra. We regard an epistemic state of each agent as an element in the vector space spanned by the basis of possible worlds, so that belief change corresponds to a linear transformation on this vector space. The compound belief states of multi-agents are treated by using the product tensor of the vector for each agent. In this formulation, the reasoning in the process of belief change can be reduced to the matrix and tensor calculation.