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Probabilistic Reasoning


   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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