Content:
Front Matter, Page iii
Copyright, Page iv
Preface, Page v, Bruce D. D'Ambrosio, Piero P. Bonissone, Philippe Smets
ARCO1: An Application of Belief Networks to the Oil Market, Pages 1-8, Bruce Abramson
“Conditional Inter-Causally Independent” node distributions, a property of “noisy-or” models, Pages 9-16, John Mark Agosta
Combining Multiple-valued Logics in Modular Expert Systems, Pages 17-25, Jaume Agustí-Cullell, Francesc Esteva, Pere García, Lluís Godó, Carles Sierra
Constraint Propagation with Imprecise Conditional Probabilities, Pages 26-34, Stéphane AMARGER, Didier DUBOIS, Henri PRADE
BAYESIAN NETWORKS APPLIED TO THERAPY MONITORING, Pages 35-43, Carlo Berzuini, Riccardo Bellazzi, David Spiegelhalter
Some Properties of Plausible Reasoning, Pages 44-51, Wray Buntine
Theory Refinement on Bayesian Networks, Pages 52-60, Wray Buntine
COMBINATION OF UPPER AND LOWER PROBABILITIES, Pages 61-68, Jose E. Cano, Serafín Moral, Juan F. Verdegay-López
A Probabilistic Analysis of Marker-Passing Techniques for Plan-Recognition, Pages 69-76, Glenn Carroll, Eugene Charniak
Symbolic Probabilistic Inference with Continuous Variables, Pages 77-81, Kuo-Chu Chang, Robert Fung
Symbolic Probabilistic Inference with Evidence Potential, Pages 82-85, Kuo-Chu Chang, Robert Fung
A Bayesian Method for Constructing Bayesian Belief Networks from Databases, Pages 86-94, Gregory F. Cooper, Edward Herskovits
Local Expression Languages for Probabilistic Dependence: a preliminary report, Pages 95-102, Bruce D'Ambrosio
Symbolic Decision Theory and Autonomous Systems, Pages 103-110, John Fox, Paul Krause
A REASON MAINTENANCE SYSTEM DEALING WITH VAGUE DATA, Pages 111-117, B. Fringuelli, S. Marcugini, A. Milani, S. Rivoira
Advances in Probabilistic Reasoning, Pages 118-126, Dan Geiger, David Heckerman
Probability Estimation in face of Irrelevant Information, Pages 127-134, Adam J. Grove, Daphne Koller
An Approximate Nonmyopic Computation for Value of Information, Pages 135-141, David Heckerman, Eric Horvitz, Blackford Middleton
Search-based Methods to Bound Diagnostic Probabilities in Very Large Belief Nets, Pages 142-150, Max Henrion
Time-Dependent Utility and Action Under Uncertainty, Pages 151-158, Eric Horvitz, Geoffrey Rutledge
Non-monotonic Reasoning and the Reversibility of Belief Change, Pages 159-164, Daniel Hunter
Belief and Surprise - A Belief-Function Formulation, Pages 165-173, Yen-Teh Hsia
Evidential Reasoning in a Categorial Perspective: Conjunction and Disjunction of Belief Functions, Pages 174-181, Robert Kennes
Reasoning with Mass Distributions, Pages 182-187, Rudolf Kruse, Detlef Nauck, Frank Klawonn
A Logic of Graded Possibility and Certainty Coping with Partial Inconsistency, Pages 188-196, Jérôme Lang, Didier Dubois, Henri Prade
Conflict and Surprise: Heuristics for Model Revision, Pages 197-204, Kathryn Blackmond Laskey
Reasoning under Uncertainty: Some Monte Carlo Results, Pages 205-211, Paul E. Lehner, Azar D. Sadigh
Representation Requirements for Supporting Decision Model Formulation, Pages 212-219, Tze-Yun Leong
A Language for Planning with Statistics, Pages 220-227, Nathaniel G. Martin, James F. Allen
A Modification to Evidential Probability, Pages 228-231, Bülent Murtezaoğlu, Henry E. Kyburg
Investigation of Variances in Belief Networks, Pages 232-241, Richard E. Neapolitan, James R. Kenevan
A Sensitivity Analysis of Pathfinder: A Follow-up Study, Pages 242-248, Keung-Chi Ng, Bruce Abramson
Non-monotonic Negation in Probabilistic Deductive Databases, Pages 249-256, Raymond T. Ng, V.S. Subrahmanian
Management of Uncertainty in the Multi-Level Monitoring and Diagnosis of the Time of Flight Scintillation Array, Pages 257-263, Robert K. Paasch, Alice M. Agogino
Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm, Pages 264-270, Gerhard Paass
Representing Bayesian Networks within Probabilistic Horn Abduction, Pages 271-278, David Poole
DYNAMIC NETWORK UPDATING TECHNIQUES FOR DIAGNOSTIC REASONING, Pages 279-286, G.M.A. Provan
High Level Path Planning with Uncertainty, Pages 287-294, Runping Qi, David Poole
Formal Model of Uncertainty for Possibilistic Rules, Pages 295-299, Arthur Ramer, Leslie Lander
Deliberation and its Role in the Formation of Intentions, Pages 300-307, Anand S. Rao, Michael P. Georgeff
Handling Uncertainty during Plan Recognition in Task-Oriented Consultation Systems, Pages 308-315, Bhavani Raskutti, Ingrid Zukerman
TRUTH AS UTILITY: A CONCEPTUAL SYNTHESIS, Pages 316-322, Enrique H. Ruspini
A General Tool for Propagating Uncertainty in Valuation Networks, Pages 323-331, Alessandro Saffiotti, Elisabeth Umkehrer
Structuring Bodies of Evidence, Pages 332-338, Sandra A. Sandri
On the Generation of Alternative Explanations with Implications for Belief Revision, Pages 339-347, Eugene Santos Jr.
Completing Knowledge by Competing Hierarchies, Pages 348-352, Kerstin Schill, Ernst Pöppel, Christoph Zetzsche
A Graph-Based Inference Method for Conditional Independence, Pages 353-360, Ross D. Shachter
A Fusion Algorithm for Solving Bayesian Decision Problems, Pages 361-369, Prakash P. Shenoy
Algorithms for Irrelevance-Based Partial MAPs, Pages 370-377, Solomon E. Shimony
About Updating, Pages 378-385, Philippe Smets
Compressed Constraints in Probabilistic Logic and Their Revision, Pages 386-391, Paul Snow
Detecting Causal Relations in the Presence of Unmeasured Variables, Pages 392-397, Peter Spirtes
A Method for Integrating Utility Analysis into an Expert System for Design Evaluation under Uncertainty, Pages 398-405, Deborah L. Thurston, Yun Qi Tian
From Relational Databases to Belief Networks, Pages 406-413, Wilson X. Wen
A Monte-Carlo Algorithm for Dempster-Shafer Belief, Pages 414-417, Nic Wilson
Compatibility of Quantitative and Qualitative Representations of Belief, Pages 418-424, S.K.M. Wong, Y.Y. Yao, P. Lingras
An Efficient Implementation of Belief Function Propagation, Pages 425-432, Hong Xu
A Non-Numeric Approach to Multi-Criteria/Multi-Expert Aggregation Based on Approximate Reasoning, Pages 433-437, Ronald R. Yager
Why Do We Need Foundations for Modelling Uncertainties?, Pages 438-442, Henry E. Kyburg
Author Index, Pages 443-444

lgrsnf/G:\!genesis\_add\!woodhead\SD\9781558602038.CLEAR_SCAN.pdf

nexusstc/Uncertainty in Artificial Intelligence : proceedings of the seventh conference (1991) : July 13-15, 1991 : Seventh Conference on Uncertainty in Artificial Intelligence, University of California at Los Angeles/fbc080d103bc78ef0cd51c3ab7f46ef9.pdf

zlib/Computers/Computer Science/Bruce D'Ambrosio; Philippe Smets; Piero Patrone Bonissone/Uncertainty in Artificial Intelligence : proceedings of the seventh conference (1991) : July 13-15, 1991 : Seventh Conference on Uncertainty in Artificial Intelligence, University of California at Los Angeles_2463415.pdf

Uncertainty in Artificial Intelligence : Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, UCLA, at Los Angeles, July 13-15, 1991

Uncertainty in artificial intelligence : 7th Conference : Papers

Seventh Conference on Uncertainty in Artificial Intelligence, University of California at Los Angeles; edited by Bruce D. D'Ambrosio, Philippe Smets, and Piero P. Bonissone

Conference on Uncertainty in Artificial Intelligence (7th 1991 University of California at Los Angeles)

Bruce D D'Ambrosio; Conference on Uncertainty in Artificial Intelligence

Morgan Kaufmann Publishers

Uncertainty in artificial intelligence, 1991

United States, United States of America

San Mateo Calif, California, 1991

July 1, 1991

lg1289530

{"isbns":["1558602038","9781558602038"],"publisher":"Morgan Kaufmann, Elsevier Inc"}

Includes bibliographical references and index.

2014-11-04