Formal goal generation for intelligent control systems

  • Authors:
  • Richard Dapoigny;Patrick Barlatier;Laurent Foulloy;Eric Benoit

  • Affiliations:
  • Université de Savoie, ESIA Laboratoire d'Informatique, Sytèmes, Traitement de l'Information et de la Connaissance, Annecy Cedex, France;Université de Savoie, ESIA Laboratoire d'Informatique, Sytèmes, Traitement de l'Information et de la Connaissance, Annecy Cedex, France;Université de Savoie, ESIA Laboratoire d'Informatique, Sytèmes, Traitement de l'Information et de la Connaissance, Annecy Cedex, France;Université de Savoie, ESIA Laboratoire d'Informatique, Sytèmes, Traitement de l'Information et de la Connaissance, Annecy Cedex, France

  • Venue:
  • IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
  • Year:
  • 2005

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Abstract

In the engineering context of control or measurement systems, there is a growing need to incorporate more and more intelligence towards sensing/actuating components. These components achieve some global service related with an intended goal through a set of elementary services intended to achieve atomic goals. There are many possible choices and non-trivial relations between services. As a consequence, both novices and specialists need assistance to prune the search space of possible services and their relations. To provide a sound knowledge representation for functional reasoning, we propose a method eliciting a goal hierarchy in Intelligent Control Systems. To refine the concept of goal with sub-concepts, we investigate a formalization which relies on a multilevel structure. The method is centered both on a mereological approach to express both physical environment and goal concepts, and on Formal Concept Analysis (FCA) to model concept aggregation/decomposition. The interplay between mereology and FCA is discussed.