Generating Diagnoses from Conflict Sets with Continuous Attributes

  • Authors:
  • Emmanuel Benazera;Louise Travé-Massuyés

  • Affiliations:
  • LAAS-CNRS, Université de Toulouse, 7 av. du Colonel Roche, 31077 Toulouse Cedex 4, France. email: ebenazer,louise@laas.fr;LAAS-CNRS, Université de Toulouse, 7 av. du Colonel Roche, 31077 Toulouse Cedex 4, France. email: ebenazer,louise@laas.fr

  • Venue:
  • Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
  • Year:
  • 2008

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Abstract

Many techniques in model-based diagnosis and other research fields find the hitting sets of a group of sets. Existing techniques apply to sets of finite elements only. This paper addresses the computation of the hitting sets of a group of sets whose elements are convex or non-convex, bounded or unbounded continuous regions. We assume the conflict sets are known and we present a novel procedure, the Continuous Hitting Set algorithm (CHS) for transforming conflict sets of continuous elements into minimal hitting sets.