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Infinite Qualitative Simulations by Means of Constraint Programming

  • Krzysztof R. Apt
  • Sebastian Brand
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4204)

Abstract

We introduce a constraint-based framework for studying infinite qualitative simulations concerned with contingencies such as time, space, shape, size, abstracted into a finite set of qualitative relations. To define the simulations we combine constraints that formalize the background knowledge concerned with qualitative reasoning with appropriate inter-state constraints that are formulated using linear temporal logic.

We implemented this approach in a constraint programming system (ECL i PS e ) by drawing on the ideas from bounded model checking. The implementation became realistic only after several rounds of optimizations and experimentation with various heuristics.

The resulting system allows us to test and modify the problem specifications in a straightforward way and to combine various knowledge aspects. To demonstrate the expressiveness and simplicity of this approach we discuss in detail two examples: a navigation problem and a simulation of juggling.

Keywords

Temporal Logic Constraint Program Constraint Satisfaction Problem Integrity Constraint Linear Temporal Logic 
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 2006

Authors and Affiliations

  • Krzysztof R. Apt
    • 1
    • 2
  • Sebastian Brand
    • 3
  1. 1.CWIAmsterdamThe Netherlands
  2. 2.University of AmsterdamThe Netherlands
  3. 3.Victoria Research LabNICTAMelbourneAustralia

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