Abstract
The use of probabilistic reasoning is a key capability in information fusion systems for a variety of domains such as military situation assessment. In this paper, we discuss two key approaches to probabilistic reasoning in military situation assessment: Probabilistic Relational Models and Object Oriented Probabilistic Relational Models. We compare the modeling and inferencing capabilities of these two languages and compare these capabilities against the requirements of the military situation assessment domain. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Howard, C., & Stumptner, M. (2005). Probabilistic reasoning techniques for the tactical military domain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 46–53). Springer Verlag. https://doi.org/10.1007/11553939_7
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