Uncertainty in Artificial Intelligence

Uncertainty in Artificial Intelligence

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

1st Edition - July 1, 1991

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  • Editors: Bruce D'Ambrosio, Philippe Smets, Piero Bonissone
  • eBook ISBN: 9781483298566

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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.

Table of Contents

  • 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

Product details

  • No. of pages: 445
  • Language: English
  • Copyright: © Morgan Kaufmann 1991
  • Published: July 1, 1991
  • Imprint: Morgan Kaufmann
  • eBook ISBN: 9781483298566

About the Editors

Bruce D'Ambrosio

Philippe Smets

Piero Bonissone

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