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Causal dynamic inference

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Abstract

We suggest a general logical framework for causal dynamic reasoning. As a first step, we introduce a uniform structural formalism and assign it two kinds of semantics, abstract dynamic models and relational models. The corresponding completeness results are proved. As a second step, we extend the structural formalism to a two-sorted state-transition calculus, and prove its completeness with respect to the associated relational semantics.

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Authors and Affiliations

  1. Computer Science Department, Holon Institute of Technology, Holon, Israel

    Alexander Bochman

  2. Computer Science Department, Bar-Ilan University, Ramat Gan, Israel

    Dov M. Gabbay

  3. Department of Computer Science, King’s College London, London, UK

    Dov M. Gabbay

  4. University of Luxembourg, Luxembourg City, Luxembourg

    Dov M. Gabbay

Authors
  1. Alexander Bochman
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  2. Dov M. Gabbay
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Correspondence to Alexander Bochman.

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Bochman, A., Gabbay, D.M. Causal dynamic inference. Ann Math Artif Intell 66, 231–256 (2012). https://doi.org/10.1007/s10472-012-9319-5

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  • DOI: https://doi.org/10.1007/s10472-012-9319-5

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