Uncertainty management in intelligent design aiding systems

  • Authors:
  • Donald E. Brown;Paula Gabbert

  • Affiliations:
  • Univ. of Virginia, Charlottesville;Univ. of Virginia, Charlottesville

  • Venue:
  • IEA/AIE '88 Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
  • Year:
  • 1988

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Abstract

Uncertainty management is critical to the performance of knowledge-based systems in domains where inference through formal logic is inappropriate. A diverse set of techniques are available for reasoning in these domains. There are disadvantages associated with all of these methods that preclude their universal acceptance. This paper describes a new approach to the management of uncertainty, which is based on information theory. This approach is particularly effective in intelligent design aids for large scale systems design. An example of the use of our approach to uncertainty management in the materials handling system design domain is provided.