Uncertainty in Artificial Intelligence
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BaRT: A Bayesian Reasoning Tool for Knowledge Based Systems
Lashon Booker, Naveen Hota, Connie Ramsey
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.
Keywords: null
Pages: 271-282
PS Link:
PDF Link: /papers/89/p271-booker.pdf
BibTex:
@INPROCEEDINGS{Booker89,
AUTHOR = "Lashon Booker and Naveen Hota and Connie Ramsey",
TITLE = "BaRT: A Bayesian Reasoning Tool for Knowledge Based Systems",
BOOKTITLE = "Uncertainty in Artificial Intelligence 5 Annual Conference on Uncertainty in Artificial Intelligence (UAI-89)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1989",
PAGES = "271--282"
}


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