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 Netwo

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

Ratings and Reviews