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Information Acquisition Strategies for Bayesian Network-based Decision Support
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. Division of Information Systems, Swedish Defence Research Agency (FOI), Sweden.
Division of Information Systems, Swedish Defence Research Agency (FOI), Sweden.
2010 (English)In: FUSION 2010: 13th international Conference on Information Fusion, 26-29 July 2010, EICC, Edinburgh, UK, IEEE conference proceedings, 2010, p. 1-8, article id 5712030Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2010. p. 1-8, article id 5712030
Keywords [en]
Bayesian networks, decision support tool, information acquisition
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-4653DOI: 10.1109/ICIF.2010.5712030Scopus ID: 2-s2.0-79952386099ISBN: 978-0-9824438-1-1 (electronic)OAI: oai:DiVA.org:his-4653DiVA, id: diva2:392554
Conference
13th international Conference on Information Fusion, 26-29 July 2010, EICC, Edinburgh, UK
Available from: 2011-01-27 Created: 2011-01-27 Last updated: 2018-01-12Bibliographically approved

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Johansson, Ronnie

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf