A model for generating better explanations

  • Authors:
  • Peter van Beek

  • Affiliations:
  • University of Waterloo, Waterloo, Ontario, Canada

  • Venue:
  • ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
  • Year:
  • 1987

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Abstract

Previous work in generating explanations from advice-giving systems has demonstrated that a cooperative system can and should infer the immediate goals and plans of an utterance (or discourse segment) and formulate a response in light of these goals and plans. The claim of this paper is that a cooperative response may also have to address a user's overall goals, plans, and preferences among those goals and plans. An algorithm is introduced that generates user-specific responses by reasoning about the goals, plans and preferences hypothesized about a user.