摘要: Decision analysis and knowledge-based expert systems share some common goals. Both technologies are designed to improve human decision making; they attempt do this by formalizing knowledge so that it is amenable mechanized reasoning. However, the based on rather different principles. application of principles theory supplemented with insights from psychology judgment. Expert systems, at least as we use term here, involve various logical computational techniques AI representation for automated inference. both emerged research systematic methods problem solving making first blossomed in 1940s. They even a progenitor, John von Neumann, who was coauthor Oscar Morgenstern best-known formulation well key player development
aaaipress.org参考文章(70)
Peter Szolovits, Stephen G. Pauker, Categorical and probabilistic reasoning in medical diagnosis Artificial Intelligence. ,vol. 11, pp. 282- 297 ,(1990) , 10.1016/0004-3702(78)90014-0
Michael P. Wellman, Qualitative Probabilistic Networks for Planning Under Uncertainty Uncertainty in Artificial Intelligence. ,vol. 5, pp. 197- 208 ,(1988) , 10.1016/B978-0-444-70396-5.50023-6
Judea Pearl, Thomas Verma, The logic of representing dependencies by directed graphs national conference on artificial intelligence. pp. 374- 379 ,(1987)
M. A. Shwe, D. E. Heckerman, M. Henrion, E. J. Horvitz, H. P. Lehmann, G. F. Cooper, B. Middleton, Probabilistic diagnosis using a reformulation of the INTERNIST-1/QMR knowledge base. I. The probabilistic model and inference algorithms. Methods of Information in Medicine. ,vol. 30, pp. 241- 255 ,(1991) , 10.1055/S-0038-1634846
Eric J. Horvitz, Reasoning under varying and uncertain resource constraints national conference on artificial intelligence. pp. 111- 116 ,(1988)
Kristian G. Olesen, Finn V. Jensen, Frank Jensen, Stig K. Andersen, HUGIN: a shell for building Bayesian belief universes for expert systems international joint conference on artificial intelligence. pp. 1080- 1085 ,(1989)
Max Henrion, Michael P. Wellman, Qualitative intercausal relations, or explaining explaining away principles of knowledge representation and reasoning. pp. 535- 546 ,(1991)
G. A. GOBRY, Computer-assisted clinical decision-making. Methods of Information in Medicine. ,vol. 12, pp. 45- 51 ,(1973) , 10.1055/S-0038-1636093
David A Klein, Explaining and Refining Decision-Theoretic Choices ,(1987)
Björn Falck, Steen Andreassen, Stig K. Andersen, Marianne Woldbye, MUNIN: a causal probabilistic network for interpretation of electromyographic findings international joint conference on artificial intelligence. pp. 366- 372 ,(1987)