Uncertainty in Artificial Intelligence
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A General Purpose Inference Engine for Evidential Reasoning Research
Richard Tong, Lee Appelbaum, D. Shapiro
The purpose of this paper is to report on the most recent developments in our ongoing investigation of the representation and manipulation of uncertainty in automated reasoning systems. In our earlier studies (Tong and Shapiro, 1985) we described a series of experiments with RUBRIC (Tong et al., 1985), a system for full-text document retrieval, that generated some interesting insights into the effects of choosing among a class of scalar valued uncertainty calculi. [n order to extend these results we have begun a new series of experiments with a larger class of representations and calculi, and to help perform these experiments we have developed a general purpose inference engine.
Pages: 297-302
PS Link:
PDF Link: /papers/86/p297-tong.pdf
AUTHOR = "Richard Tong and Lee Appelbaum and D. Shapiro",
TITLE = "A General Purpose Inference Engine for Evidential Reasoning Research",
BOOKTITLE = "Proceedings of the Second Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-86)",
ADDRESS = "Corvallis, Oregon",
YEAR = "1986",
PAGES = "297--302"

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