Uncertainty in Artificial Intelligence - 1st Edition - ISBN: 9781558602038, 9781483298566

Uncertainty in Artificial Intelligence

1st Edition

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

Editors: Bruce D'Ambrosio Philippe Smets Piero Bonissone
eBook ISBN: 9781483298566
Imprint: Morgan Kaufmann
Published Date: 1st July 1991
Page Count: 445
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Description

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

Details

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

About the Editor

Bruce D'Ambrosio

Philippe Smets

Piero Bonissone