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Implementation and ...
Implementation and integration of a Bayesian Network for prediction of tactical intention into a ground target simulator
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- Johansson, Fredrik (författare)
- Högskolan i Skövde,Institutionen för kommunikation och information
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- Falkman, Göran, 1968- (författare)
- Högskolan i Skövde,Institutionen för kommunikation och information
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(creator_code:org_t)
- IEEE, 2006
- 2006
- Engelska.
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Ingår i: 9th International Conference on Information Fusion. - : IEEE. - 9781424409532
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Prediction of the enemy's intention is a main issue of threat analysis, and, hence, will be an important part of the C2-systems of tomorrow. A technique that can be useful for this kind of predictions is Bayesian networks (BNs). We have developed a BN for prediction of the enemy's tactical intention, and the implemented BN has been integrated into a ground target simulation framework. The general problem of how to find appropriate prior distributions for BNs has been addressed by developing a tool for data collection, which may make it easier to come up with appropriate prior distributions, by learning conditional probability tables from collected cases, i.e. parameter learning
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Bayesian Networks
- conditional probability tables
- impact assessment
- parameter learning
- threat analysis
- Technology
- Teknik
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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