Probabilistic reasoning techniques for the tactical military domain

Authors:
Catherine Howard;Markus Stumptner
Affiliations:
Electronic Warfare and Radar Division, Defence Science and Technology Organisation, Edinburgh, South Australia;Advanced Computing Research Centre, University of South Australia, Adelaide, South Australia
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

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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.