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Information Acquisi...
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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 ...
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IEEE conference proceedings,2010
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:his-4653
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https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-4653URI
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https://doi.org/10.1109/ICIF.2010.5712030DOI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:kon swepub-publicationtype
Notes
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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)
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Högskolan i SkövdeInstitutionen för kommunikation och information
(creator_code:org_t)
Related titles
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In:FUSION 2010: IEEE conference proceedings, s. 1-89780982443811
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