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A First-Order Dynamic Probability Logic

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Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7958))

Abstract

We introduce a Hilbert-style first-order dynamic probability logic and prove the strong completeness theorem for the class of rigid measurable models.

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References

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Author information

Authors and Affiliations

  1. Mathematical Institute of Serbian Academy of Sciences and Arts, Kneza Mihaila 36, 11000, Belgrade, Serbia

    Zoran Ognjanović

  2. Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000, Belgrade, Serbia

    Aleksandar Perović

  3. Faculty of Mechanical Engineering, University of Belgrade, Kraljice Marije 16, 11000, Belgrade, Serbia

    Dragan Doder

Authors
  1. Zoran Ognjanović
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  2. Aleksandar Perović
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  3. Dragan Doder
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Editor information

Editors and Affiliations

  1. Department of Information and Computing Sciences, Utrecht University, Princetonplein 5, 3584 CC, Utrecht, The Netherlands

    Linda C. van der Gaag

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© 2013 Springer-Verlag Berlin Heidelberg

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Ognjanović, Z., Perović, A., Doder, D. (2013). A First-Order Dynamic Probability Logic. In: van der Gaag, L.C. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2013. Lecture Notes in Computer Science(), vol 7958. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39091-3_39

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  • DOI: https://doi.org/10.1007/978-3-642-39091-3_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39090-6

  • Online ISBN: 978-3-642-39091-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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