Weakening conflicting information for iterated revision and knowledge integration
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TARK '05 Proceedings of the 10th conference on Theoretical aspects of rationality and knowledge
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IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
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In this paper we explore the potential of using extended belief change operators for modeling the evolution of legal evidence. We introduce a new representation, an evidence structure that can be used to support rich change operators called transmutations. Evidence structures and transmutations support the iterated nature of evidence gathering and acquisition. Importantly reliability is maintained during transmutations and modified where necessary using the Principle of Minimal Change. We establish that this process possesses desirable properties; in particular we construct transmutations that do not assume logical omniscience and that satisfy the widely accepted AGM rationality postulates for revision and contraction but at the same time preserve a key value of the evidence, its reliability.