Evidence transmutations: gathering admissible evidence using belief revision

  • Authors:
  • Mary-Anne Williams

  • Affiliations:
  • University of Technology, Sydney

  • Venue:
  • Proceedings of the 12th International Conference on Artificial Intelligence and Law
  • Year:
  • 2009

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Abstract

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.