Title :
Probabilistic reasoning techniques for situation assessments
Author :
Howard, Catherine ; Stumptner, Markus
Author_Institution :
Electron. Warfare & Radar Div., Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
Abstract :
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.
Keywords :
belief maintenance; belief networks; inference mechanisms; object-oriented methods; uncertainty handling; frame-based representation system; object concept attributes; object-oriented Bayesian networks; object-oriented probabilistic relational model; probabilistic reasoning; situation assessment formulation; tactical military domain; Australia; Bayesian methods; Decision making; Decision support systems; Electronic warfare; Helicopters; Military computing; Object oriented modeling; Radar applications; Random variables;
Conference_Titel :
Information Technology and Applications, 2005. ICITA 2005. Third International Conference on
Print_ISBN :
0-7695-2316-1
DOI :
10.1109/ICITA.2005.219
