ICGA Proceedings 1991 / Edition 1

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More About This Textbook

Product Details

  • ISBN-13: 9781558602083
  • Publisher: Elsevier Science & Technology Books
  • Publication date: 7/1/1991
  • Edition number: 1
  • Pages: 576

Table of Contents

ARCO1: An Application of Belief Networks to the Oil Market 1
"Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-Or" Models 9
Combining Multiple-valued Logics in Modular Expert Systems 17
Constraint Propagation with Imprecise Conditional Probabilities 26
Bayesian Networks Applied to Therapy Monitoring 35
Some Properties of Plausible Reasoning 44
Theory Refinement on Bayesian Networks 52
Combination of Upper and Lower Probabilities 61
A Probabilistic Analysis of Marker-Passing Techniques for Plan-Recognition 69
Symbolic Probabilistic Inference with Continuous Variables 77
Symbolic Probabilistic Inference with Evidence Potential 82
A Bayesian Method for Constructing Bayesian Belief Networks from Databases 86
Local Expression Languages for Probabilistic Dependence 95
Decision Theory and Autonomous Systems 103
A Reason Maintenance System Dealing with Vague Data 111
Advances in Probabilistic Reasoning 118
Probability Estimation in Face of Irrelevant Information 127
An Approximate Nonmyopic Computation for Value of Information 135
Search-Based Methods to Bound Diagnostic Probabilities in Very Large Belief Nets 142
Time-Dependent Utility and Action Under Uncertainty 151
Non-monotonic Reasoning and the Reversibility of Belief Change 159
Belief and Surprise - A Belief-Function Formulation 165
Evidential Reasoning in a Categorial Perspective 174
Reasoning with Mass Distributions 182
A Logic of Graded Possibility and Certainty Coping with Partial Inconsistency 188
Conflict and Surprise: Heuristics for Model Revision 197
Reasoning Under Uncertainty: Some Monte Carlo Results 205
Representation Requirements for Supporting Decision Model Formulation 212
A Language for Planning with Statistics 220
A Modification to Evidential Probability 228
Investigation of Variances in Belief Networks 232
A Sensitivity Analysis of Pathfinder: A Follow-Up Study 242
Non-Monotonic Negation in Probabilistic Deductive Databases 249
Management of Uncertainty 257
Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm 264
Representing Bayesian Networks Within Probabilistic Horn Abduction 271
Dynamic Network Updating Techniques for Diagnostic Reasoning 279
High Level Path Planning with Uncertainty 287
Formal Model of Uncertainty for Possibilistic Rules 295
Deliberation and its Role in the Formation of Intentions 300
Handling Uncertainty During Plan Recognition in Task-Oriented Consultation Systems 308
Truth as Utility: A Conceptual Synthesis 316
Pulcinella: A General Tool for Propagating Uncertainty in Valuation Networks 323
Structuring Bodies of Evidence 332
On the Generation of Alternative Explanations with Implications for Belief Revision 339
Completing Knowledge by Competing Hierarchies 348
A Graph-Based Inference Method for Conditional Independence 353
A Fusion Algorithm for Solving Bayesian Decision Problems 361
Algorithms for Irrelevance-Based Partial MAPs 370
About Updating 378
Compressed Constraints in Probabilistic Logic and Their Revision 386
Detecting Causal Relations in the Presence of Unmeasured Variables 392
A Method for Integrating Utility Analysis 398
From Relational Databases to Belief Networks 406
A Monte-Carlo Algorithm for Dempster-Shafer Belief 414
Compatibility of Quantitative and Qualitative Representations of Belief 418
An Efficient Implementation of Belief Function Propagation 425
A Non-Numeric Approach to Multi-Criteria/Multi-Expert Aggregation Based on Approximate Reasoning 433
Why Do We Need Foundations for Modelling Uncertainties? 438
Author Index 443
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