A constraint-based model for cooperative response generation in information dialogues

  • Authors:
  • Yan Qu;Steve Beale

  • Affiliations:
  • -;-

  • Venue:
  • AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
  • Year:
  • 1999

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Abstract

This paper presents a constraint-based model for cooperative response generation for information systems dialogues, with an emphasis on detecting and resolving situations in which the user's information needs have been over-constrained. Our model integrates and extends the AI techniques of constraint satisfaction, solution synthesis and constraint hierarchy to provide an incremental computational mechanism for constructing and maintaining partial parallel solutions. Such a mechanism supports immediate detection of over-constrained situations. In addition, we explore using the knowledge in the solution synthesis network to support different relaxation strategies.