Uncertainty in Artificial Intelligence: Is Probability Epistemologically and Heuristically Adequate?-Reference-Cited by-同舟云学术

Uncertainty in Artificial Intelligence: Is Probability Epistemologically and Heuristically Adequate?

Published:1987 Issue: Volume: Page:105-129
ISSN:
Container-title:Expert Judgment and Expert Systems
language:
Short-container-title:

Author:

Henrion Max

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-86679-1_6.pdf

Reference38 articles.

1. Beyth-Marom, R. How probable is probable? A numerical taxonomy translation of verbal probability expressions. J. of Forecasting, 1982, 1, 257–69.

2. Bonissone, P. P. A Fuzzy Sets based linguistic approach: Theory and applications, pages 329–39, 1982.

3. Bonissone, P. P. Plausible Reasoning: Coping with Uncertainty in Expert Systems, 1986.

4. Buchanan, B. G. & Shortliffe, E. H. Rule-based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison-Wesley, Reading, Mass, 1984.

5. Bundy, A. Incidence Calculus: A mechanism for probabilistic reasoning, 1986.

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