|
[1]Bonisonne P. (1985) Reasoning with uncertainty in expert systems. International Journal of Man-Machine Studies, 22: 3. |
|
2Cohen P. (1985) Heuristic reasoning about uncertainty: an artificial intelligence approach. London: Pitman. |
|
3Cohen P. and Gruber T. (1985) Reasoning about uncertainty: A knowledge representation perspective. In John Fox (Ed.) Pergamon Infotech State of the Art Report. |
|
4Cohen P., Shafer G. and Shenoy P. (1987) Modifiable combining functions. COINS Technical Report 87–43, Department of Computer and Information Science, University of Massachusetts, Amherst, MA. |
|
5Duda R.O., Hart P.E. and Nilsson N. (1976) Subjective Bayesian methods for rule-based inference systems. Technical note 124, AI Center, SRI International, Menlo Park, CA. |
|
6Gordon J. and Shortliffe E.H. (1984) The Dempster-Shafer theory of evidence and its relevance to expert systems. The MYCIN Experiments of the Stanford Heuristic Programming Project, Reading, MA: Addison-Wesley. |
|
[7]Henrion Max (1986) Should we use probability in uncertain inference systems. Proceedings of the Eighth Annual Conference of the Cognitive Science Society, pp. 320–331. |
|
8Lowrance John D. and Garvey Thomas D. (1983) Evidential reasoning: an implementation for multi-sensor integration. Technical Note 307, AI Center, SRI International, Menlo Park, CA. |
|
[9]Pearl J., Leal A. and Saleh J. (1982) GODDESS: A Goal-Directed Decision Structuring System. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 4, pp. 250–262. |
|
[10]Quinlan J.R. (1983) INFERNO: A cautious approach to uncertain inference. Computer Journal, vol. 26. |
|
11Shafer G. (1976) A mathematical theory of evidence. Princeton: Princeton University Press. |
|
12Shafer G. (1984) Probability judgment in artificial intelligence and expert systems. University of Kansas Working Paper 165, Lawrence School of Business, Lawrence, Kansas. |
|
13Shafer G. and Tversky A., (1986) Languages and designs for probability judgment. Cognitive Science, in press. |
|
14Shortliffe E.H. and Buchanan B.G. (1984) A model of inexact reasoning in medicine, Rule Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project, Reading, MA: Addison-Wesley. |
|
[15]Sullivan M. and Cohen P.R. (1985) An endorsement-based plan recognition program. Proceedings of the international Joint Conference on Artificial Intelligence, pp. 475–479. |
|
[16]Szolovits P. and Pauker S.G. (1978) Categorical and Probabilistic Reasoning in Medical Diagnosis. Artificial Intelligence, vol. 11, pp. 115–144. |
|
[1]Chandrasakeran B. (1986) Generic tasks in knowledge-based reasoning: high-level building blocks for expert system design. IEEE Expert, Fall, pp. 23–30. |
|
[2]Bylander T. and Mittal S.CSRL: A language for classificatory problem solving and uncertainty handling. AI Magazine. 7(3): 66–77, 1986. |
|
[3]Clancey W.J.Heuristic Classification. Artificial Intelligence. 27: 289–350, 1985. |
|
[4]Clancey W.J.From GUIDON to NEOMYCIN and HERACLES in twenty short lessons. AI Magazine. 7(3): 40–60, 1986. |
|
5Cohen P.R., Greenberg M., DeLisio J. (1987) MU: A development environment for prospective reasoning systems. AAAI-87, 07, 1987, Seattle, WA. |
|
[6]Gruber T. and Cohen P.R. (1987a) Design for acquisition: principles of knowledge system design to facilitate knowledge acquisition. The International Journal of Man-Machine Studies, forthcoming, Spring, 1987. |
|
7Gruber T. and Cohen P.R. (1987b) Knowledge engineering tools at the architecture level. (revised version) 10th International Joint Conference on Artificial Intelligence. Milan, Italy. 08. |
|
8Hayes-Roth B., Garvey A., Johnson M.V. and Hewett M. A layered environment for reasoning about action. Report No. KSL 86–38. Computer Science Department, Stanford University. |
|
9Kahn G., Nowlan S. and McDermott J. MORE: An intelligent knowledge acquisition tool. Proceedings of the Ninth International Joint Conference on Artificial Intelligence, Los Angeles, CA, 08, 581–584. |
|
10Marcus S., McDermott J. and Wang T. Knowledge acquisition for constructive systems. Proceedings of the Ninth International Joint Conference on Artificial Intelligence, Los Angeles, CA, 08, 1985. pp. 637–640. |
|
1Cohen P.R. and Feigenbaum E.A. (1982) The Handbook of Artificial Intelligence, 3, Reading, MA: Addison-Wesley. |
|
[2]Fikes R., Hart P. and Nilsson N.Learning and executing generalized robot plans. Artificial Intelligence, 3(4): 251–288. 1972. |
|
3Fox John (1985) Knowledge decision making and uncertainty. Workshop on Artificial Intelligence and Statistics, Bell Laboratories. |
|
4Howard R.A. Decision analysis: applied decision theory, Hertz D.B. and Melese J., editors, Proceedings of the Fourth International Conference on Operational Research. 55–71, New York: Wiley. 1966. |
|
5Howe A. and Cohen P.R.1986. A typology for constructing decisions. Proceedings of IEEE Conference on Computers and Communications. Phoenix, AZ, 02, 1987. |
|
6Raiffa H.Decision Analysis: Introductory Lectures on Choices Under Uncertainty. Reading, MA: Addison-Wesley. 1970. |
|
[7]Sacerdoti E. (1979) Problem solving tactics. Proceedings of the Sixth international Joint Conference on Artificial Intelligence, pp. 1077–1085. |
|
8Waltz D. Generating semantic descriptions from drawings of scenes with shadows. Reprinted in Winston P. (Ed.) The psychology of computer vision. New York: McGraw-Hill. 19–92, 1975. |
|
1Clancey W.J. and Letsinger R. NEOMYCIN: Reconfiguring a rule-based expert system for application to teaching. In Clancey W.J. and Shortcliffe E.H. (Eds.) Readings in Medical Artificial Intelligence: The First Decade. Reading, MA.: Addison-Wesley, 1984. |
|
[2]Cohen P., David Day, Jefferson DeLisio, Michael Greenberg, Rick Kjeldsen, Daniel Suthers and Paul Berman. Management of Uncertainty in Medicine. International Journal of Approximate Reasoning, Spring, 1987. |
|
3Davis R. and Buchanan B.G., Meta-level knowledge. In Buchanan B.C. and Shortliffe E.H. (Eds.) Rule-based expert systems: The MYCIN experiments of the Stanford Heuristic Programming Project, Reading, MA.: Addison-Wesley, 1984. |
|
[4]Durfee E. and Lesser V. (1986) Incremental planning to control a blackboard-based problem solver. Proceedings of the Fifth National Conference on Artificial Intelligence, pp. 58–64. |
|
[5]Erman L.D., Hayes-Roth F., Lesser V. and Reddy D.R.The Hearsay-II speech understanding system: Integrating knowledge to resolve uncertainty. ACM Computing Survey, 12: 213–253. 1980. |
|
[6]Hayes-Roth B. (1985) A blackboard architecture for control. Artificial Intelligence, vol. 26, pp. 251–321. |
|
7Hayes-Roth F. and Lesser V. (1977) Focus of attention in the Hearsay-II speech understanding system. Proceedings of the Fifth International Joint Conference on Articial Intelligence. Boston, MA. pp. 27–35. |
|
[8]Nii H.P.The blackboard model of problem solving. AI Magazine7(2): 38–54. 1986a. |
|
[9]Nii H.P.Blackboard systems part two: Blackboard application systems. AI Magazine7(3): 82–106. 1986b. |