8. UAI 1992: Stanford, CA, USA

• Zhi An, David A. Bell, John G. Hughes:
  RES: A Relative Method for Evidential Reasoning. 1-8
  
• Remco R. Bouckaert:
  Optimizing Causal Orderings for Generating DAGs from Data. 9-16
  
• Craig Boutilier:
  Modal Logics for Qualitative Possibility and Beliefs. 17-24
  
• Brian Y. Chan, Ross D. Shachter:
  Structural Controllability and Observability in Influence Diagrams. 25-32
  
• Philippe Chatalic, Christine Froidevaux:
  Lattice-based Graded Logic: A Multimodal Approach. 33-40
  
• Paul Dagum, Adam Galper, Eric Horvitz:
  Dynamic Network Models for Forecasting. 41-48
  
• Paul Dagum, Eric Horvitz:
  Reformulating Inference Problems Through Selective Conditioning. 49-54
  
• Norman C. Dalkey:
  Entropy and Belief Networks. 55-58
  
• Bruce D'Ambrosio, Tony Fountain, Zhaoyu Li:
  Parallelizing Probabilistic Inference: Some Early Explorations. 59-66
  
• Adnan Darwiche:
  Objection-based Causal Exception Networks. 67-73
  
• Didier Dubois, Henri Prade, Lluis Godo, Ramon López de Mántaras:
  A Symbolic Approach to Reasoning with Linguistic Quantifiers. 74-82
  
• Francesco Fulvio Monai, Thomas Chehire:
  Possibilistic Assumption based Truth Maintenance System, Validation in a Data Fusion Application. 83-91
  
• Dan Geiger:
  An Entropy-based Learning Algorithm of Bayesian Conditional Trees. 92-97
  
• Angelo Gilio, Fulvio Spezzaferri:
  Knowledge integration for Conditional Probability Assessments. 98-103
  
• Robert P. Goldman, Jack S. Breese:
  Integrating Model Construction and Evaluation. 104-111
  
• Moisés Goldszmidt, Judea Pearl:
  Reasoning with Qualitative Probabilities Can Be Tractable. 112-120
  
• Uffe Kjærulff:
  A Computational Scheme for Reasoning in Dynamic Probabilistic Networks. 121-129
  
• Frank Klawonn, Philippe Smets:
  The Dynamic of Belief in the Transferable Belief Model and Specialization-Generalization Matrices. 130-137
  
• George J. Klir, Behzad Parviz:
  A Note on the Measure of Discord. 138-141
  
• Henry E. Kyburg Jr.:
  Semantics for Probabilistic Inference. 142-148
  
• Henry E. Kyburg Jr., Michael Pittarelli:
  Some Problems for Convex Bayesians. 149-154
  
• Kathryn B. Laskey:
  Bayesian Meta-Reasoning: Determining Model Adequacy from within a Small World. 155-158
  
• Kathryn B. Laskey:
  The Bounded Bayesian. 159-165
  
• Tze-Yun Leong:
  Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report. 166-173
  
• Dekang Lin:
  A Probabilistic Network of Predicates. 174-181
  
• Weiru Liu, John G. Hughes, Michael F. McTear:
  Representing Heuristic Knowledge in D-S Theory. 182-190
  
• Izhar Matzkevich, Bruce Abramson:
  The Topological Fusion of Bayes Nets. 191-198
  
• Serafín Moral:
  Calculating Uncertainty Intervals from Conditional Convex Sets of Probabilities. 199-206
  
• Ann E. Nicholson, J. Michael Brady:
  Sensor Validation Using Dynamic Belief Networks. 207-214
  
• Raymond T. Ng, V. S. Subrahmanian:
  Empirical Probabilities in Monadic Deductive Databases. 215-222
  
• Kristian G. Olesen, Steffen L. Lauritzen, Finn Verner Jensen:
  aHUGIN: A System Creating Adaptive Causal Probabilistic Networks. 223-229
  
• Gerhard Paass:
  MESA: Maximum Entropy by Simulated Annealing. 230-237
  
• Thomas S. Paterson, Michael R. Fehling:
  Decision Methods for Adaptive Task-Sharing in Associate Systems. 238-243
  
• Luigi Portinale:
  Modeling Uncertain Temporal Evolutions in Model-based Diagnosis. 244-251
  
• Yuping Qiu, Louis Anthony Cox Jr., Lawrence Davis:
  Guess-and-Verify Heuristics for Reducing Uncertainties in Expert Classification Systems. 252-258
  
• Peter J. Regan, Samuel Holtzman:
  R&D Analyst: An Interactive Approach to Normative Decision System Model Construction. 259-267
  
• Thomas Schiex:
  Possibilistic Constraint Satisfaction Problems or "How to Handle Soft Constraints?". 268-275
  
• Ross D. Shachter, Mark A. Peot:
  Decision Making Using Probabilistic Inference Methods. 276-283
  
• Prakash P. Shenoy:
  Conditional lndependence in Uncertainty Theories. 284-291
  
• Philippe Smets:
  The Nature of the Unnormalized Beliefs Encountered in the Transferable Belief Model. 292-297
  
• Paul Snow:
  Intuitions about Ordered Beliefs Leading to Probabilistic Models. 298-302
  
• Luis Enrique Sucar, Duncan Fyfe Gillies:
  Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks. 303-309
  
• Chin-Wang Tao, Wiley E. Thompson:
  A Fuzzy Logic Approach to Target Tracking. 310-314
  
• Helmut Thöne, Ulrich Güntzer, Werner Kießling:
  Towards Precision of Probabilistic Bounds Propagation. 315-322
  
• Thomas Verma, Judea Pearl:
  An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation. 323-330
  
• Carl G. Wagner:
  Generalizing Jeffrey Conditionalization. 331-335
  
• S. K. Michael Wong, Lusheng Wang, Yiyu Yao:
  Interval Structure: A Framework for Representing Uncertain Information. 336-343
  
• Yang Xiang, David Poole, Michael P. Beddoes:
  Exploring Localization in Bayesian Networks for Large Expert Systems. 344-351
  
• Hong Xu:
  A Decision Calculus for Belief Functions in Valuation-based Systems. 352-359
  

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