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.
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Howard, C., Stumptner, M. (2005). Probabilistic Reasoning Techniques for the Tactical Military Domain. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_7
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DOI: https://doi.org/10.1007/11553939_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
Online ISBN: 978-3-540-31990-0
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