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An Information Fusion Game Component
- Publication Year :
- 2006
- Publisher :
- KTH, Numerisk Analys och Datalogi, NADA, 2006.
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Abstract
- Higher levels of the data fusion process call for prediction and awareness of the development of a situation. Since the situations handled by command and control systems develop by actions performed by opposing agents, pure probabilistic or evidential techniques are not fully sufficient tools for prediction. Game-theoretic tools can give an improved appreciation of the real uncertainty in this prediction task, and also be a tool in the planning process. Based on a combination of graphical inference models and game theory, we propose a decision support tool architecture for command and control situation awareness enhancements. This paper outlines a framework for command and control decision-making in multi-agent settings. Decision-makers represent beliefs over models incorporating other decision-makers and the state of the environment. When combined, the decision-makers’ equilibrium strategies of the game can be inserted into a representation of the state of the environment to achieve a joint probability distribution for the whole situation in the form of a Bayesian network representation. QC 20100825
- Subjects :
- Datavetenskap (datalogi)
Computer Sciences
Subjects
Details
- Language :
- English
- ISSN :
- 20100825
- Database :
- OpenAIRE
- Accession number :
- edsair.dedup.wf.001..a475f92a140bafb3c0749c5262a5211e