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arXiv · 1304.1496

BaRT: A Bayesian Reasoning Tool for Knowledge Based Systems

Lashon B. Booker·Naveen Hota·Connie Loggia Ramsey
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Abstract

As the technology for building knowledge based systems has matured, important lessons have been learned about the relationship between the architecture of a system and the nature of the problems it is intended to solve. We are implementing a knowledge engineering tool called BART that is designed with these lessons in mind. BART is a Bayesian reasoning tool that makes belief networks and other probabilistic techniques available to knowledge engineers building classificatory problem solvers. BART has already been used to develop a decision aid for classifying ship images, and it is currently being used to manage uncertainty in systems concerned with analyzing intelligence reports. This paper discusses how state-of-the-art probabilistic methods fit naturally into a knowledge based approach to classificatory problem solving, and describes the current capabilities of BART.

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Lashon B. Booker, Naveen Hota, Connie Loggia Ramsey. 2013-03-27. BaRT: A Bayesian Reasoning Tool for Knowledge Based Systems. https://arxiv.org/abs/1304.1496

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