Explanation, irrelevance and statistical independence

  • Authors:
  • Solomon E. Shimony

  • Affiliations:
  • Computer Science Department, Brown University, Providence, RI

  • Venue:
  • AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
  • Year:
  • 1991

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Abstract

We evaluate current explanation schemes. These are either insufficiently general, or suffer from other serious drawbacks. We propose a domain-independent explanation system that is based on ignoring irrelevant variables in a probabilistic setting. We then prove important properties of some specific irrelevance-based schemes and discuss how to implement them.