7. UAI 1991: Los Angeles, CA, USA

• Bruce Abramson:
  ARCO1: An Application of Belief Networks to the Oil Market. 1-8
  
• John Mark Agosta:
  "Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-OR" Models. 9-16
  
• Jaume Agustí-Cullell, Francesc Esteva, Pere Garcia, Lluis Godo, Carles Sierra:
  Combining Multiple-valued Logics in Modular Expert Systems. 17-25
  
• Stéphane Amarger, Didier Dubois, Henri Prade:
  Constraint Propagation with Imprecise Conditional Probabilities. 26-34
  
• Carlo Berzuini, David J. Spiegelhalter, Riccardo Bellazzi:
  Bayesian Networks Applied to Therapy Monitoring. 35-43
  
• Wray L. Buntine:
  Some Properties of Plausible Reasoning. 44-51
  
• Wray L. Buntine:
  Theory Refinement on Bayesian Networks. 52-60
  
• José E. Cano, Serafín Moral, Juan F. Verdegay-López:
  Combination of Upper and Lower Probabilities. 61-68
  
• Glenn Carroll, Eugene Charniak:
  A Probabilistic Analysis of Marker-Passing Techniques for Plan-Recognition. 69-76
  
• Kuo-Chu Chang, Robert M. Fung:
  Symbolic Probabilistic Inference with Continuous Variables. 77-81
  
• Kuo-Chu Chang, Robert M. Fung:
  Symbolic Probabilistic Inference with Evidence Potential. 82-85
  
• Gregory F. Cooper, Edward Herskovits:
  A Bayesian Method for Constructing Bayesian Belief Networks from Databases. 86-94
  
• Bruce D'Ambrosio:
  Local Expression Languages for Probabilistic Dependence. 95-102
  
• John Fox, Paul Krause:
  Decision Theory and Autonomous Systems. 103-110
  
• Bruno Fringuelli, Stefano Marcugini, Alfredo Milani, Silvano Rivoira:
  A Reason Maintenance System Dealing with Vague Data. 111-117
  
• Dan Geiger, David Heckerman:
  Advances in Probabilistic Reasoning. 118-126
  
• Adam J. Grove, Daphne Koller:
  Probability Estimation in Face of Irrelevant Information. 127-134
  
• David Heckerman, Eric Horvitz, Blackford Middleton:
  An Approximate Nonmyopic Computation for Value of Information. 135-141
  
• Max Henrion:
  Search-Based Methods to Bound Diagnostic Probabilities in Very Large Belief Nets. 142-150
  
• Eric Horvitz, Geoffrey Rutledge:
  Time-Dependent Utility and Action Under Uncertainty. 151-158
  
• Daniel Hunter:
  Non-monotonic Reasoning and the Reversibility of Belief Change. 159-164
  
• Yen-Teh Hsia:
  Belief and Surprise - A Belief-Function Formulation. 165-173
  
• Robert Kennes:
  Evidential Reasoning in a Categorial Perspective. 174-181
  
• Rudolf Kruse, Detlef Nauck, Frank Klawonn:
  Reasoning with Mass Distributions. 182-187
  
• Jérôme Lang, Didier Dubois, Henri Prade:
  A Logic of Graded Possibility and Certainty Coping with Partial Inconsistency. 188-196
  
• Kathryn B. Laskey:
  Conflict and Surprise: Heuristics for Model Revision. 197-204
  
• Paul E. Lehner, Azar Sadigh:
  Reasoning Under Uncertainty: Some Monte Carlo Results. 205-211
  
• Tze-Yun Leong:
  Representation Requirements for Supporting Decision Model Formulation. 212-219
  
• Nathaniel Martin, James F. Allen:
  A Language for Planning with Statistics. 220-227
  
• Bülent Murtezaoglu, Henry E. Kyburg Jr.:
  A Modification to Evidential Probability. 228-231
  
• Richard E. Neapolitan, James R. Kenevan:
  Investigation of Variances in Belief Networks. 232-241
  
• Keung-Chi Ng, Bruce Abramson:
  A Sensitivity Analysis of Pathfinder: A Follow-Up Study. 242-248
  
• Raymond T. Ng, V. S. Subrahmanian:
  Non-Monotonic Negation in Probabilistic Deductive Databases. 249-256
  
• Robert Paasch, Alice M. Agogino:
  Management of Uncertainty. 257-263
  
• Gerhard Paass:
  Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm. 264-270
  
• David Poole:
  Representing Bayesian Networks Within Probabilistic Horn Abduction. 271-278
  
• Gregory M. Provan:
  Dynamic Network Updating Techniques for Diagnostic Reasoning. 279-286
  
• Runping Qi, David Poole:
  High Level Path Planning with Uncertainty. 287-294
  
• Arthur Ramer:
  Formal Model of Uncertainty for Possibilistic Rules. 295-299
  
• Anand S. Rao, Michael P. Georgeff:
  Deliberation and its Role in the Formation of Intentions. 300-307
  
• Bhavani Raskutti, Ingrid Zukerman:
  Handling Uncertainty During Plan Recognition in Task-Oriented Consultation Systems. 308-315
  
• Enrique H. Ruspini:
  Truth as Utility: A Conceptual Synthesis. 316-322
  
• Alessandro Saffiotti, Elisabeth Umkehrer:
  Pulcinella: A General Tool for Propagating Uncertainty in Valuation Networks. 323-331
  
• Sandra Sandri:
  Structuring Bodies of Evidence. 332-338
  
• Eugene Santos Jr.:
  On the Generation of Alternative Explanations with Implications for Belief Revision. 339-347
  
• Kerstin Schill, Ernst Pöppel, Christoph Zetzsche:
  Completing Knowledge by Competing Hierarchies. 348-352
  
• Ross D. Shachter:
  A Graph-Based Inference Method for Conditional Independence. 353-360
  
• Prakash P. Shenoy:
  A Fusion Algorithm for Solving Bayesian Decision Problems. 361-369
  
• Solomon Eyal Shimony:
  Algorithms for Irrelevance-Based Partial MAPs. 370-377
  
• Philippe Smets:
  About Updating. 378-385
  
• Paul Snow:
  Compressed Constraints in Probabilistic Logic and Their Revision. 386-391
  
• Peter Spirtes:
  Detecting Causal Relations in the Presence of Unmeasured Variables. 392-397
  
• Deborah L. Thurston, Yun Qi Tian:
  A Method for Integrating Utility Analysis. 398-405
  
• Wilson X. Wen:
  From Relational Databases to Belief Networks. 406-413
  
• Nic Wilson:
  A Monte-Carlo Algorithm for Dempster-Shafer Belief. 414-417
  
• S. K. Michael Wong, Yiyu Yao, Pawan Lingras:
  Compatibility of Quantitative and Qualitative Representations of Belief. 418-424
  
• Hong Xu:
  An Efficient Implementation of Belief Function Propagation. 425-432
  
• Ronald R. Yager:
  A Non-Numeric Approach to Multi-Criteria/Multi-Expert Aggregation Based on Approximate Reasoning. 433-437
  

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