Reconfigurable Bayesian Networks for Hierarchical Multi-Stage Situation Assessment in Battlespace

TitleReconfigurable Bayesian Networks for Hierarchical Multi-Stage Situation Assessment in Battlespace
Publication TypeConference Paper
Year of Publication2005
AuthorsMirmoeini, F., and V. Krishnamurthy
Conference NameSignals, Systems and Computers, 2005. Conference Record of the 39th Asilomar Conference on
Pagination104 -108
Date Publishedoct.
Keywordsbattlespace, belief networks, hierarchical multistage situation, low-level sensor data, military computing, reconfigurable Bayesian networks
Abstract

Situation assessment is the task of summarizing low-level sensor data in a battlefield environment to produce hypotheses suitable to use in command and control decision making. In this paper we devise a novel algorithm for adaptive multi-stage situation assessment using a hierarchy of reconfigurable Bayesian networks. The formulation and algorithm presented are suitable for dynamic battlespace situation changes. We provide numerical examples that show the effectiveness of our approach in a battlefield scenario

URLhttp://dx.doi.org/10.1109/ACSSC.2005.1599711
DOI10.1109/ACSSC.2005.1599711

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