CMU Artificial Intelligence Repository
Probabilistic Reasoning
areas/reasonng/probabl/
bayes/ BAYES: Tree-structured Bayesian belief network
belief/ BELIEF: Graphical Belief Function Models and
Graphical Probabilistic Models
doc/ Documentation related to Probabilistic Reasoning
ideal/ IDEAL: Information about the IDEAL testbed for
influence diagrams and Bayesian networks
rcstat/ RCSTAT: Produces probability intervals from raw
data using the Kyburg/Pollock method.
This directory contains software and other materials about
Probabilistic Reasoning.
References:
Neapolitan, Richard E., "Probabilistic Reasoning in Expert Systems:
Theory and Algorithms", John Wiley and Sons, 1990. [Practical guide
to implementation.]
Oliver, Robert M., and Smith, James Q., editors, "Influence Diagrams,
Belief Nets and Decision Analysis", John Wiley and Sons, 1990.
Pearl, Judea, "Probabilistic Reasoning in Intelligent Systems:
Networks of Plausible Inference", Morgan Kaufmann, San Mateo,
California, 1988. [Theoretical framework for Bayesian networks]
Shafer, Glenn, and Pearl, Judea, "Readings in Uncertain Reasoning",
Morgan Kaufmann, San Mateo, California, 1990. 768 pages,
ISBN 1-55860-125-2 paper ($49.95).
R.O. Duda, P.E. Hart, and N.J. Nilsson, "Subjective Bayesian Methods
for Rule-Based Inference Systems", In Proceedings of the 1976 National
Computer Conference, pages 1075-1082, AFIPS, 1976.
Charniak, Eugene, "Bayesian Networks without tears", AI Magazine
12(4):50-63, Winter 1991. [Intro to Bayesian networks for beginners]
Charniak, E., "Motivation analysis, abductive unification, and
nonmonotonic equality", Artifical Intelligence 34:275-95.
Kass, A., "Adaptation-based explanation", 11th IJCAI, pages 141-47.
Hobbs, J., et al., "Interpretation as abduction", SRI AI TR #499.
Kahneman, D., Slovic, P., and Tversky, A., "Judgement under
uncertainty", Cambridge University Press.
Micheal Smithson, "Ignorance and Uncertainty: Emerging Paradigms",
Springer-Verlag, 1989.
Uncertainty in Artificial Intelligence [2|3|4|5], North-Holland.
Proceedings of the Nth Conference on Uncertainty in Artificial
Intelligence, Morgan Kaufmann Publishers.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Keywords:
Probabilistic Reasoning, Reasoning!Probabilistic Reasoning
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