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Doctoral Consortium Extended Abstract: Multi-context Systems with Preferences

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Logic Programming and Nonmonotonic Reasoning (LPNMR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9345))

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Abstract

Multi-Context Systems (MCSs) have been introduced in [1] as a framework for integration of knowledge from different sources. This research formalizes MCSs with preferences (MCSPs) that allows to integrate preferences into an MCS at the context level and at the MCS level, and proposes novel distributed algorithms to compute their semantics.

Extended Abstract as part of the program of the 1st Joint ADT/LPNMR 2015 Doctoral Consortium co-chaired by Esra Erdem and Nicholas Mattei.

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Notes

  1. 1.

    The following definitions are from [1].

  2. 2.

    The following definitions are from [2].

  3. 3.

    The term “a preferred equilibrium” is used, rather than “the most preferred equilibrium”, to show that there might not be a unique most preferred equilibrium.

References

  1. Brewka, G., Eiter, T.: Equilibria in heterogeneous nonmonotonic multi-context systems. In: Proceedings of the AAAI, pp. 385–390 (2007)

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  2. Brewka, G., Niemelä, I., Truszczynski, M.: Answer set optimization. In: Proceedings of the IJCAI 2003, pp. 867–872 (2003)

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  3. Gelfond, M., Lifschitz, V.: Logic programs with classical negation. In: Proceedings of the ICLP, pp. 579–597 (1990)

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Author information

Authors and Affiliations

  1. Department of Computer Science, New Mexico State University, Las Cruces, NM, USA

    Tiep Le

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  1. Tiep Le
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Correspondence to Tiep Le .

Editor information

Editors and Affiliations

  1. University of Calabria, Rende, Italy

    Francesco Calimeri

  2. University of Calabria, Rende, Italy

    Giovambattista Ianni

  3. University of Kentucky Dept. Computer Science, Lexington, Kentucky, USA

    Miroslaw Truszczynski

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Le, T. (2015). Doctoral Consortium Extended Abstract: Multi-context Systems with Preferences. In: Calimeri, F., Ianni, G., Truszczynski, M. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2015. Lecture Notes in Computer Science(), vol 9345. Springer, Cham. https://doi.org/10.1007/978-3-319-23264-5_46

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  • DOI: https://doi.org/10.1007/978-3-319-23264-5_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23263-8

  • Online ISBN: 978-3-319-23264-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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