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Using Shapley Inconsistency Values for Distributed Information Systems with Uncertainty

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Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9161))

Abstract

We study the problem of analyzing inconsistency in a distributed information system where the reliability of the sources is taken into account. We model uncertainty by assigning a probability to each source. This yields a definition of the expected inconsistency of the system. We also extend this with the use of Shapley values for determining the responsibility of each formula to inconsistency. Then we use the Shapley inconsistency values to assign an expected blame to each formula. From this we define the concept of weakness of a formula which represents the degree to which it should be deleted to resolve the inconsistency of the system.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and UMIACS, University of Maryland, College Park, MD, 20742, USA

    John Grant

  2. Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, UK

    Anthony Hunter

Authors
  1. John Grant
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  2. Anthony Hunter
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Corresponding author

Correspondence to Anthony Hunter .

Editor information

Editors and Affiliations

  1. Université de Technologie de Compiègne, Compiègne, France

    Sébastien Destercke

  2. Centre de Recherches de Royallieu, Université de Technologie de Compiègne, Compiègne, France

    Thierry Denoeux

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© 2015 Springer International Publishing Switzerland

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Grant, J., Hunter, A. (2015). Using Shapley Inconsistency Values for Distributed Information Systems with Uncertainty. In: Destercke, S., Denoeux, T. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2015. Lecture Notes in Computer Science(), vol 9161. Springer, Cham. https://doi.org/10.1007/978-3-319-20807-7_21

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  • DOI: https://doi.org/10.1007/978-3-319-20807-7_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20806-0

  • Online ISBN: 978-3-319-20807-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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