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Top Document: Artificial Intelligence FAQ:4/6 Bibliography [Monthly posting]
Previous Document: [4-18] Automated Deduction/Theorem Proving
Next Document: [4-20] Nonmonotonic Reasoning and Truth Maintenance Systems (TMS)
[4-19] Probabilistic Reasoning
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.
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).
Charniak, Eugene, "Bayesian Networks without tears", AI Magazine
12(4):50-63, Winter 1991. [Intro to Bayesian networks for beginners]
Abduction & Uncertainty:
Charniak, E., "Motivation analysis, abductive unification, and
nonmonotonic equality", Artifical Intelligence 34:275-95.
Hobbs, J., et al., "Interpretation as abduction", SRI AI TR #499.
Kass, A., "Adaptation-based explanation", 11th IJCAI, pages 141-47.
Current Research:
Uncertainty in Artificial Intelligence [2|3|4|5], North-Holland.
Proceedings of the Nth Conference on Uncertainty in Artificial
Intelligence, Morgan Kaufmann Publishers.
See also:
[4-9], Machine learning.
Top Document: Artificial Intelligence FAQ:4/6 Bibliography [Monthly posting]
Previous Document: [4-18] Automated Deduction/Theorem Proving
Next Document: [4-20] Nonmonotonic Reasoning and Truth Maintenance Systems (TMS)
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