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An Experiment in Causal Structure Discovery. A Constraint Programming Approach

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Book cover Foundations of Intelligent Systems (ISMIS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10352))

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Abstract

The problem of Causal Structure Discovery is defined by given inputs, outputs, auxiliary knowledge of components and possible internal connections. Constraints Programming is employed to discover admissible system models. Existence of internal connections and predefined functionality of components is handled through reification.

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Notes

  1. 1.

    The library clpfd for constraint programming with finite domains was incorporated; see http://www.pathwayslms.com/swipltuts/clpfd/clpfd.html for details.

References

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Author information

Authors and Affiliations

  1. AGH University of Science and Technology, 30-059, Kraków, Poland

    Antoni Ligęza

Authors
  1. Antoni Ligęza
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Correspondence to Antoni Ligęza .

Editor information

Editors and Affiliations

  1. Warsaw University of Technology, Warsaw, Poland

    Marzena Kryszkiewicz

  2. University of Bari Aldo Moro, Bari, Italy

    Annalisa Appice

  3. Institute of Informatics, University of Warsaw, Warsaw, Poland

    Dominik Ślęzak

  4. Faculty of Electronics & Information, Warsaw University of Technology, Warsaw, Poland

    Henryk Rybinski

  5. Institute of Mathematics, Warsaw University, Warsaw, Poland

    Andrzej Skowron

  6. Department of Computer Science, University of North Carolina at Charlotte, North Carolina, USA

    Zbigniew W. Raś

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Ligęza, A. (2017). An Experiment in Causal Structure Discovery. A Constraint Programming Approach. In: Kryszkiewicz, M., Appice, A., Ślęzak, D., Rybinski, H., Skowron, A., Raś, Z. (eds) Foundations of Intelligent Systems. ISMIS 2017. Lecture Notes in Computer Science(), vol 10352. Springer, Cham. https://doi.org/10.1007/978-3-319-60438-1_26

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  • DOI: https://doi.org/10.1007/978-3-319-60438-1_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60437-4

  • Online ISBN: 978-3-319-60438-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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