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International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

IPMU 2010: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods pp 189–198Cite as

Constructing Multiple Frames of Discernment for Multiple Subproblems

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 80))

Abstract

In this paper we extend a methodology for constructing a frame of discernment from belief functions for one problem, into a methodology for constructing multiple frames of discernment for several different subproblems. The most appropriate frames of discernment are those that let our evidence interact in an interesting way without exhibit too much internal conflict. A function measuring overall frame appropriateness is mapped onto a Potts spin neural network in order to find the partition of all belief functions that yields the most appropriate frames.

This work was supported by the FOI research project “Real-Time Simulation Supporting Effects-Based Planning”, which is funded by the R&D programme of the Swedish Armed Forces.

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Author information

Authors and Affiliations

  1. Division of Information Systems, Swedish Defence Research Agency, SE-164 90, Stockholm, Sweden

    Johan Schubert

Authors
  1. Johan Schubert
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Editor information

Editors and Affiliations

  1. Fachbereich Mathematik und Informatik, Philipps-Universität Marburg, Marburg, Germany

    Eyke Hüllermeier

  2. Department of Knowledge Processing and Language Engineering, Otto-von-Guericke University of Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany

    Rudolf Kruse

  3. Fakultät für Elektrotechnik und Informationstechnik, Technische Universität Dortmund, 44221, Dortmund, Germany

    Frank Hoffmann

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Schubert, J. (2010). Constructing Multiple Frames of Discernment for Multiple Subproblems. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods. IPMU 2010. Communications in Computer and Information Science, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14055-6_20

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  • DOI: https://doi.org/10.1007/978-3-642-14055-6_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14054-9

  • Online ISBN: 978-3-642-14055-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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