Uncertainty in Artificial Intelligence
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Steps Towards Programs that Manage Uncertainty
Paul Cohen
Abstract:
Reasoning under uncertainty in Al hats come to mean assessing the credibility of hypotheses inferred from evidence. But techniques for assessing credibility do not tell a problem solver what to do when it is uncertain. This is the focus of our current research. We have developed a medical expert system called MUM, for Managing Uncertainty in Medicine, that plans diagnostic sequences of questions, tests, and treatments. This paper describes the kinds of problems that MUM was designed to solve and gives a brief description of its architecture. More recently, we have built an empty version of MUM called MU, and used it to reimplement MUM and a small diagnostic system for plant pathology. The latter part of the paper describes the features of MU that make it appropriate for building expert systems that manage uncertainty.
Keywords: MUM, Medical Expert System, Managing Uncertainty
Pages: 257-266
PS Link:
PDF Link: /papers/87/p257-cohen.pdf
BibTex:
@INPROCEEDINGS{Cohen87,
AUTHOR = "Paul Cohen ",
TITLE = "Steps Towards Programs that Manage Uncertainty",
BOOKTITLE = "Uncertainty in Artificial Intelligence 3 Annual Conference on Uncertainty in Artificial Intelligence (UAI-87)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1987",
PAGES = "257--266"
}


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