Uncertainty in Artificial Intelligence
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Uncertainty in Artificial Intelligence Conference on Uncertainty in Artificial Intelligence ( 1985 )
Jul 10-12 1985, Los Angeles, CA

Edited By:

Published By: Elsevier Science, Amsterdam, NL
ISBN: 0-444-70058-7

A Constraint - Propagation Approach to Probabilistic Reasoning
Judea Pearl
A Framework for Comparing Uncertain Inference Systems to Probability
Ben Wise , Max Henrion
A General Approach to Decision Making with Evidential Knowledge
Ronald Yager
An Evaluation of Two Alternatives to Minimax
Dana Nau , Paul Purdom , Chun-Hung Tzeng
An Expert System Framework For Non-Monotonic Reasoning About Probabilistic Assumption
Marvin Cohen
An Explanation of and Cure for Minimax Pathology
Bruce Abramson
An Inequality Paradigm For Probabilistic Knowledge: The Logic of Conditional Probability Intervals
Benjamin Grosof
An Odds Ratio Based Inference Engine
David Vaughan , Bruce Perrin , Robert Yadrick , Peter Holden , Karl Kempf
Confidence Factors, Empiricism and the Dempster-Shafer Theory of Evidence
John Lemmer
Consensus Rules
Carlos Berenstein , Laveen Kanal , David Lavine
Evidential Confirmation as Transformed Probability: On The Duality of Priors and Updates
Benjamin Grosof
Exact Reasoning About Uncertainty : On the Design of Expert Systems for Decision Support
Samuel Holtzman , John Breese
Handling Uncertain Information: A Review of Numeric and Non-numeric Methods
Raj Bhatnagar , Laveen Kanal
Implementing Probabilistic Reasoning
Matthew Ginsberg
Independence and Bayesian Updating Methods
Rodney Johnson
Induction, of and by Probability
Larry Rendell
Inductive Inference and the Representation of Uncertainty
Norman Dalkey
Intelligent Probabilistic Inference
Ross Shachter
Interval-Based Decisions for Reasoning Systems
Ronald Loui
Is Probability Theory Sufficient for Dealing with Uncertainty in AI: A Negative View
Lotfi Zadeh
Knowledge Structures and Evidential Reasoning in Decision Analysis
Gerald Liu
Machine Learning, Clustering and Polymorphy
Stephen Hanson , Malcolm Bauer
Metaprobability and Dempster-Shafer In Evidential Reasoning
Robert Fung , Chee Chong
Model-based Probabilistic Situation Inference in Hierachical Hypothesis Spaces
Tod Levitt
Probabilistic Interpretations for MYCIN's Certainty Factors
David Heckerman
Probabilistic Reasoning in Predictive Expert Systems
David Spiegelhalter
Probabilistic Versus Fuzzy Reasoning
Peter Cheeseman
Probability Judgement in Artificial Intelligence
Glenn Shafer
Relative Entropy, Probabilistic Inference , and AI
John Shore
Representing, Combining and Using Uncertain Estimates
Henry Hamburger
Selecting Uncertainty Calculi and Granularity : An Experiment in Trading-off Precision and Complexity
Piero Bonissone , Keith Decker
The Application of Algorithmic Probability to Problems in Artificial Intelligence
Ray Solomonoff
The Inconsistent Use of Measures of Certainty in Artificial Intelligence Research
Eric Horvitz , David Heckerman
Three Arguments for Extending the Framework of Probability
John Fox
Uncertain Reasoning Using Maximum Entropy Inference
Daniel Hunter
Uncertainty Handling in Expert Systems: Uniform vs. Task-Specific Formalisms
B Chandrasekaran , Martin Tanner
What Uncertainty Judgments Can Tell About the Underlying Subjective Probabilities
Alf Zimmer

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