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

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書誌事項

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

edited by Bruce D. D'Ambrosio, Philippe Smets, Piero P. Bonissone

Morgan Kaufmann Pub., c1991

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Includes index

内容説明・目次

内容説明

Uncertainty in Artificial Intelligence: Proceedings of the Seventh Conference (1991) covers the papers presented at the Seventh Conference on Uncertainty in Artificial Intelligence, held on July 13-15, 1991 at the University of California at Los Angeles (UCLA). The book focuses on the processes, technologies, developments, and approaches involved in artificial intelligence. The selection first offers information on combining multiple-valued logics in modular expert systems; constraint propagation with imprecise conditional probabilities; and Bayesian networks applied to therapy monitoring. The text then examines some properties of plausible reasoning; theory refinement on Bayesian networks; combination of upper and lower probabilities; and a probabilistic analysis of marker-passing techniques for plan-recognition. The publication ponders on symbolic probabilistic inference (SPI) with continuous variables, SPI with evidence potential, and local expression languages for probabilistic dependence. Topics include local expression languages for probabilistic knowledge, evidence potential algorithm, symbolic inference with evidence potential, and SPI with continuous variables algorithm. The manuscript also takes a look at the compatibility of quantitative and qualitative representations of belief and a method for integrating utility analysis into an expert system for design evaluation under uncertainty. The selection is a valuable source of data for researchers interested in artificial intelligence.

目次

ARCO1: An Application of Belief Networks to the Oil Market "Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-Or" Models Combining Multiple-Valued Logics in Modular Expert Systems Constraint Propagation with Imprecise Conditional Probabilities Bayesian Networks Applied to Therapy Monitoring Some Properties of Plausible Reasoning Theory Refinement on Bayesian Networks Combination of Upper and Lower Probabilities A Probabilistic Analysis of Marker-Passing Techniques for Plan-Recognition Symbolic Probabilistic Inference with Continuous Variables Symbolic Probabilistic Inference with Evidence Potential A Bayesian Method for Constructing Bayesian Belief Networks from Databases Local Expression Languages for Probabilistic Dependence Decision Theory and Autonomous Systems A Reason Maintenance System Dealing with Vague Dataira Advances in Probabilistic Reasoning Probability Estimation in Face of Irrelevant Information An Approximate Nonmyopic Computation for Value of Information Search-Based Methods to Bound Diagnostic Probabilities in Very Large Belief Nets Time-Dependent Utility and Action Under Uncertainty Non-Monotonic Reasoning and the Reversibility of Belief Change Belief and Surprise - A Belief-Function Formulation Evidential Reasoning in a Categorial Perspective Reasoning with Mass Distributions A Logic of Graded Possibility and Certainty Coping with Partial Inconsistency Conflict and Surprise: Heuristics for Model Revision Reasoning Under Uncertainty: Some Monte Carlo Results Representation Requirements for Supporting Decision Model Formulation A Language for Planning with Statistics A Modification to Evidential Probability Investigation of Variances in Belief Networks A Sensitivity Analysis of Pathfinder: A Follow-Up Study Non-Monotonic Negation in Probabilistic Deductive Databases Management of Uncertainty Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm Representing Bayesian Networks Within Probabilistic Horn Abduction Dynamic Network Updating Techniques for Diagnostic Reasoning High Level Path Planning with Uncertainty Formal Model of Uncertainty for Possibilistic Rules Deliberation and its Role in the Formation of Intentions Handling Uncertainty During Plan Recognition in Task-Oriented Consultation Systems Truth as Utility: A Conceptual Synthesis Pulcinella: A General Tool for Propagating Uncertainty in Valuation Networks Structuring Bodies of Evidence On the Generation of Alternative Explanations with Implications for Belief Revision Completing Knowledge by Competing Hierarchies A Graph-Based Inference Method for Conditional Independence A Fusion Algorithm for Solving Bayesian Decision Problems Algorithms for Irrelevance-Based Partial MAPs About Updating Compressed Constraints in Probabilistic Logic and Their Revision Detecting Causal Relations in the Presence of Unmeasured Variables A Method for Integrating Utility Analysis From Relational Databases to Belief Networks A Monte-Carlo Algorithm for Dempster-Shafer Belief Compatibility of Quantitative and Qualitative Representations of Belief An Efficient Implementation of Belief Function Propagation A Non-Numeric Approach to Multi-Criteria/Multi-Expert Aggregation Based on Approximate Reasoning Why Do We Need Foundations for Modelling Uncertainties? Author Index

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