Research on situation assessment of UCAV based on dynamic Bayesian networks in complex environment
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
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This paper discusses the application of Object Oriented Probabilistic Relational Models to the formulation of situation assessments in the tactical military domain. Object Oriented Probabilistic Relational Models extend traditional attribute based Bayesian Networks with the concepts of objects, their attributes and the relationships between them by combining a frame-based representation system with Object Oriented Bayesian Networks.