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  • Johansson, RonnieHögskolan i Skövde,Institutionen för kommunikation och information,Forskningscentrum för Informationsteknologi,Division of Information Systems, Swedish Defence Research Agency (FOI), Sweden (author)

Information Acquisition Strategies for Bayesian Network-based Decision Support

  • Article/chapterEnglish2010

Publisher, publication year, extent ...

  • IEEE conference proceedings,2010
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:his-4653
  • https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-4653URI
  • https://doi.org/10.1109/ICIF.2010.5712030DOI

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  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:kon swepub-publicationtype

Notes

  • Determining how to utilize information acquisition resources optimally is a difficult task in the intelligence domain. Nevertheless, an intelligence analyst can expect little or no support for this from software tools today. In this paper, we describe a proof of concept implementation of a resource allocation mechanism for an intelligence analysis support system. The system uses a Bayesian network to structure intelligence requests, and the goal is to minimize the uncertainty of a variable of interest. A number of allocation strategies are discussed and evaluated through simulations.

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  • Mårtenson, ChristianDivision of Information Systems, Swedish Defence Research Agency (FOI), Sweden (author)
  • Högskolan i SkövdeInstitutionen för kommunikation och information (creator_code:org_t)

Related titles

  • In:FUSION 2010: IEEE conference proceedings, s. 1-89780982443811

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FUSION 2010
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University of Skövde

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