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Information Acquisition Strategies for Bayesian Network-based Decision Support
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- Johansson, Ronnie (author)
- Högskolan i Skövde,Institutionen för kommunikation och information,Forskningscentrum för Informationsteknologi,Division of Information Systems, Swedish Defence Research Agency (FOI), Sweden
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- Mårtenson, Christian (author)
- Division of Information Systems, Swedish Defence Research Agency (FOI), Sweden
- (creator_code:org_t)
- IEEE conference proceedings, 2010
- 2010
- English.
- In: FUSION 2010. - : IEEE conference proceedings. - 9780982443811 ; , s. 1-8
- Conference paper (peer-reviewed)
Abstract
Subject headings
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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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Keyword
- Bayesian networks
- decision support tool
- information acquisition
- Teknik
- Technology
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