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Reasoning about unpredicted change and explicit time

  • Florence Dupin de Saint-Cyr
  • Jérôme Lang
Accepted Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1244)

Abstract

Reasoning about unpredicted change consists in explaining observations by events; we propose here an approach for explaining time-stamped observations by surprises, which are simple events consisting in the change of the truth value of a fluent. A framework for dealing with surprises is defined. Minimal sets of surprises are provided together with time intervals where each surprise has occurred, and they are characterized from a model-based diagnosis point of view. Then, a probabilistic approach of surprise minimisation is proposed.

Keywords

Prior Probability Propositional Variable Situation Calculus Unpredicted Change Faulty Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Florence Dupin de Saint-Cyr
    • 1
  • Jérôme Lang
    • 1
  1. 1.IRITUniversité Paul SabatierToulouse CedexFrance

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