|
Bacchus F, 1990. Representing and Reasoning with Probabilistic Knowledge: A Logical Approach to ProbabilitiesMIT Press.
Google Scholar
|
|
Breese JS and Horvitz EJ, 1990. “Ideal reformulation of belief networks” in: Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence,Cambridge, MA,July, 64–72.
Google Scholar
|
|
Breese JS, 1990. Construction of belief and decision networks, Technical Memorandum 30, Rockwell International Science Center, Palo Alto, CA, January. To appear in Computational Intelligence.
Google Scholar
|
|
Buede DM, 1986. “Structuring value attributes” Interfaces16(2) 52–62.
Google Scholar
|
|
Charniak E and McDermott D, 1985. Introduction to Artificial IntelligenceAddison-Wesley.
Google Scholar
|
|
Clark DA, Fox J, Glowinski AJ and O'Neil MJ, 1990. “Symbolic reasoning for decision making” in: Borcherding K, Larichev OI and Messick DM eds., Contemporary Issues in Decision MakingElsevier Science Publishers.
Google Scholar
|
|
Cooper GF and Herskovits E, 1991. “A Bayesian method for constructing Bayesian belief networks from databases” in: Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence,Los Angeles, CA, 86–94.
Google Scholar
|
|
D'Ambrosio B and Fehling M, 1989. “Resource-bounded agents in an uncertain world” in: AAAI Spring Symposium on Artificial Intelligence and Limited Rationality, 13–17.
Google Scholar
|
|
Dean T and Boddy M, 1988. “An analysis of time-dependent planning” in: Proceedings of the National Conference on Artificial Intelligence, 49–54.
Google Scholar
|
|
Fertig KW and Breese JS, 1989. “Interval influence diagrams” in: Proceedings of the Workshop on Uncertainty in Artificial Intelligence, Windsor, ON, 102–111.
Google Scholar
|
|
Fox J, 1991. “Decision theory and autonomous systems” in: Singh M and Travé-Massuyés L, eds., Decision Support Systems and Qualitative ReasoningNorth-Holland.
Google Scholar
|
|
Geiger D, Paz A and Pearl J, 1990. “Learning causal trees from dependence information” in: Proceedings of the National Conference on Artificial Intelligence,Boston, MA, 770–776.
Google Scholar
|
|
Geman S and Geman D, 1984. “Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images” IEEE Transactions on Pattern Analysis and Machine Intelligence6721–741.
Google Scholar
|
|
Goldman RP and Charniak E, 1990. “Dynamic construction of belief networks” in: Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence,Cambridge, MA, 90–97.
Google Scholar
|
|
Goldman RP, 1990. “A probabilistic approach to language understanding” Technical Report CS–90–34, Brown University Department of Computer Science, 12.
Google Scholar
|
|
Haddawy P and Hanks S, 1990. “Issues in decision-theoretic planning: Symbolic goals and numeric utilities” in: Proceedings of the DARPA Workshop on Innovative Approaches to Planning, Scheduling, and Control, 48–58.
Google Scholar
|
|
Haddawy P and Rendell L, 1990. “Planning and decision theory”, Knowledge Engineering Review515–33.
Google Scholar
|
|
Haddawy P, 1991. “A temporal probability logic for representing actions” in: Principles of Knowledge Representation and Reasoning: Proceedings of the Second International Conference, 313–324.
Google Scholar
|
|
Halpern JY, 1990. “An analysis of first-order logics of probability” Artificial Intelligence46311–350.
Google Scholar
|
|
Hanks SJ, 1990. “Projecting plans for uncertain worlds” Technical Report YALEU/CSD/RR 756, Yale University Department of Computer Science, 01.
Google Scholar
|
|
Hansson O, Mayer A and Russell S, 1990. “Decision-theoretic planning in BPS” in: AAAI Symposium on Planning in Uncertain, Unpredictable, or Changing Environments (Available as report 90–45, University of Maryland Systems Research Center).
Google Scholar
|
|
Heckerman DE, Horvitz EJ and Nathwani BN, “Toward normative expert systems: The Pathfinder project” Methods of Information in Medicine (to appear).
Google Scholar
|
|
Henrion M and Druzdzel MJ, 1990. “Qualitative propagation and scenario-based approaches to explanation of probabilistic reasoning” in: Proceedings of the Sixth Conference on Uncertainty in Artificial intelligence,Cambridge, MA, 10–20.
Google Scholar
|
|
Hobbs JR, Stickel M, Martin P and Edwards D, 1988. “Interpretation as abduction” in: Proceedings of the 26th Annual Meeting of the ACL, 95–103.
Google Scholar
|
|
Holtzman S, 1989. Intelligent Decision SystemsAddison-Wesley.
Google Scholar
|
|
Horvitz EJ, Breese JS and Henrion M, 1988. “Decision theory in expert systems and artificial intelligence” International journal of Approximate Reasoning2247–302.
Google Scholar
|
|
Horvitz EJ, 1988. Reasoning under varying and uncertain resource constraints” in: Proceedings of the National Conference on Artificial Intelligence, 111–116.
Google Scholar
|
|
Howard RA and Matheson JE, 1984b. “Influence diagrams” in: The Principles and Applications of Decision Analysis, 719–762.
Google Scholar
|
|
Howard RA and Matheson JE, eds., 1984. The Principles and Applications of Decision AnalysisStrategic Decisions Group.
Google Scholar
|
|
Kanazawa K, 1991. “A logic and time nets for probabilistic inference” in: Proceedings of the National Conference on Artificial Intelligence,Anaheim, CA, 360–365.
Google Scholar
|
|
Keeney RL and Raiffa H, 1976. Decisions with Multiple Objectives: Preferences and Value TradeoffsJohn Wiley.
Google Scholar
|
|
Keeney RL, 1986. “Identifying and structuring values” Decision analysis series report, University of Southern California, Los Angeles, CA, 12.
Google Scholar
|
|
Langlotz CP, Shortliffe EH and Fagan LM, 1988. “A methodology for generating computer-based explanations of decision-theoretic advice” Medical Decision Making8290–303.
Google Scholar
|
|
Laskey KB, 1990. “A probabilistic reasoning environment” in: Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence,Cambridge, MA, 415–422.
Google Scholar
|
|
Laskey KB, 1991. “Conflict and surprise: Heuristics for model revision” in: Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence,Los Angeles, CA, 197–204.
Google Scholar
|
|
Lehner PE and Adelman L, 1990. “Behavioural decision theory and its implication for knowledge engineering” Knowledge Engineering Review55–14.
Google Scholar
|
|
Leong TY, 1991. “Knowledge representation for supporting decision model formulation in medicine” Technical Report 504, MIT Laboratory for Computer Science, Cambridge, MA, 05.
Google Scholar
|
|
Leong TY, 1991. “Representation requirements for supporting decision model formulation” in: Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence,Los Angeles, CA, 212–219.
Google Scholar
|
|
Levitt TS, Binford TO and Ettinger GJ, 1990. “Utility based control for computer vision” in: Shachter RD, Levitt TS, Lemmer JF and Kanal LN eds., Uncertainty in Artificial Intelligence4, 407–422Elsevier Science.
Google Scholar
|
|
Loui RP, 1989. “Defeasible decisions: What the proposal is and isn't” in: Proceedings of the Workshop on Uncertainty in Artificial Intelligence, Windsor, ON, 245–252.
Google Scholar
|
|
Nayak PP, Joskowicz L and Addanki S, 1991. “Automated model selection using context-dependent behaviors” in: Fifth International Workshop on Qualitative Physics,Austin, TX,May.
Google Scholar
|
|
Neapolitan RE, 1990. Probabilistic Reasoning in Expert Systems: Theory and AlgorithmsJohn Wiley.
Google Scholar
|
|
Pearl J, Geiger D and Verma T, 1989. “Conditional independence and its representations” Kybernetika2533–44.
Google Scholar
|
|
Pearl J, 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceMorgan Kaufmann.
Google Scholar
|
|
Pereira FCN and Warren DHD, 1980. “Definite clause grammars for language analysis—A survey of the formalism and comparison with augmented transition networks” Artificial Intelligence13231–278.
Google Scholar
|
|
Poole D, 1991. “Representing Bayesian networks within probabilistic Horn abduction” in: Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence,Los Angeles, CA, 271–278.
Google Scholar
|
|
Provan GMA, 1991. “Dynamic network updating techniques for diagnostic reasoning” in: Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence,Los Angeles, CA, 279–286.
Google Scholar
|
|
Raiffa H, 1968. Decision Analysis: Introductory Lectures on Choices Under UncertaintyAddison-Wesleyxs.
Google Scholar
|
|
Reiter R, 1987. “A theory of diagnosis from first principles” Artificial Intelligence3257–96.
Google Scholar
|
|
Russell S and Wefald E, 1991. Do the Right Thing: Studies in Limited RationalityMIT Press.
Google Scholar
|
|
Saffiotti A, 1990. “A hybrid framework for representing uncertain knowledge” in: Proceedings of the National Conference on Artificial Intelligence,Boston, MA, 653–658.
Google Scholar
|
|
Savage LJ, 1972. The Foundations of StatisticsDover Publications.
Google Scholar
|
|
Shachter RD, 1986. “Evaluating influence diagrams” Operations Research34871–882.
Google Scholar
|
|
Shachter RD, 1988. “Probabilistic inference and influence diagrams” Operations Research36589–604.
Google Scholar
|
|
Smith DE, 1988. “A decision-theoretic approach to the control of planning search” Technical Report LOGIC-87–11, Department of Computer Science, Stanford University, 01.
Google Scholar
|
|
Vilain MB, 1985. “The restricted language architecture of a hybrid representation system” in: Proceedings of the Ninth International Joint Conference on Artificial Intelligence, 547–551.
Google Scholar
|
|
Weld DS and de Kleer J, eds., 1989. Readings in Qualitative Reasoning About Physical SystemsMorgan Kaufmann.
Google Scholar
|
|
Weld DS, 1991. “Reasoning about model accuracy” Technical Report 91–05–02, Department of Computer Science and Engineering, University of Washington, 06.
Google Scholar
|
|
Wellman MP and Doyle J, 1991. “Preferential semantics for goals” in: Proceedings of the National Conference on Artificial Intelligence,Anaheim, CA, 698–703.
Google Scholar
|
|
Wellman MP and Henrion M, 1991. “Qualitative intercausal relations, or Explaining ‘explaining away’” in: Principles of Knowledge Representation and Reasoning: Proceedings of the Second International Conference, 535–546.
Google Scholar
|
|
Wellman MP, Eckman MH, Fleming C, Marshall SL, Sonnenberg FA and Pauker SG, 1989. “Automated critiquing of medical decision trees” Medical Decision Making9272–284.
Google Scholar
|
|
Wellman MP, 1986. “Representing health outcomes for automated decision formulation” in: Salamon, R, Blum, B and Jørgensen, M, eds., MEDINFO 86: Proceedings of the Fifth Conference on Medical Informatics, 789–793, Washington,October.
Google Scholar
|
|
Wellman MP, 1990. Formulation of Tradeoffs in Planning Under UncertaintyPitman.
Google Scholar
|
|
Wellman MP, 1990. “Fundamental concepts of qualitative probabilistic networks” Artificial Intelligence44257–303.
Google Scholar
|
|
Yen J and Bonissone PP, 1990. “Extending term subsumption systems for uncertainty management” in: Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence,Cambridge, MA, 468–473.
Google Scholar
|
