Uncertainty in Artificial Intelligence
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Proceedings of the Second Conference Conference on Uncertainty in Artificial Intelligence ( 1986 )
Aug 8-10 1986, Philadelphia, PA

Edited By:
Laveen Kanal, John Lemmer
Published By: AUAI Press, Corvallis, Oregon
ISBN: 

A Backwards View for Assessment
Ross Shachter , David Heckerman
A Causal Bayesian Model for the Diagnosis of Appendicitis
Stanley Schwartz , Jonathan Baron , John Clarke
A General Purpose Inference Engine for Evidential Reasoning Research
Richard Tong , Lee Appelbaum , D. Shapiro
A VLSI Design and Implementation for a Real-Time Approximate Reasoning
Masaki Togai , Hiroyuki Watanabe
An Application of Non-Monotonic Probabilistic Reasoning to Air Force Threat Correlation
Kathryn Laskey , Marvin Cohen
An Axiomatic Framework for Belief Updates
David Heckerman
An Explanation Mechanism for Bayesian Inferencing Systems
Steven Norton
An Uncertainty Management Calculus for Ordering Searches in Distributed Dynamic Databases
Uttam Mukhopadhyay
Application of Evidential Reasoning to Helicopter Flight Path Control
Shoshana Abel
Appropriate and Inappropriate Estimation Techniques
David Sher
Approximate Deduction in Single Evidential Bodies
Enrique Ruspini
Bayesian Inference for Radar Imagery Based Surveillance
Tod Levitt
Computing Reference Classes
Ronald Loui
DAVID: Influence Diagram Processing System for the Macintosh
Ross Shachter
Decision Under Uncertainty in Diagnosis
Charles Kalme
Deriving And Combining Continuous Possibility Functions in the Framework of Evidential Reasoning
Pascal Fua
Distributed Revision of Belief Commitment in Multi-Hypothesis Interpretations
Judea Pearl
Estimating Uncertain Spatial Relationships in Robotics
Randall Smith , Matthew Self , Peter Cheeseman
Evaluation of Uncertain Inference Models I: PROSPECTOR
Robert Yadrick , Bruce Perrin , David Vaughan , Peter Holden , Karl Kempf
Evidence as Opinions of Experts
Robert Hummel , Michael Landy
Evidential Reasoning in Parallel Hierarchical Vision Programs
Ze-Nian Li , Leonard Uhr
Experimentally Comparing Uncertain Inference Systems to Probability
Ben Wise
Flexible Interpretations: A Computational Model for Dynamic Uncertainty Assessment
Shohara Hardt
Generalizing Fuzzy Logic Probabilistic Inferences
Silvio Ursic
Imprecise Meanings as a Cause of Uncertainty in Medical Knowledge-Based Systems
Steven Henkind
Information and Multi-Sensor Coordination
Greg Hager , Hugh Durrant-Whyte
Knowledge and Uncertainty
Henry Kyburg Jr.
Knowledge Engineering Within A Generalized Bayesian Framework
Stephen Barth , Steven Norton
Learning Link-Probabilities in Causal Trees
Igor Roizer , Judea Pearl
Models vs. Inductive Inference for Dealing With Probabilistic Knowledge
Norman Dalkey
Non-Monotonicity in Probabilistic Reasoning
Benjamin Grosof
On Implementing Usual Values
Ronald Yager
On the Combinality of Evidence in the Dempster-Shafer Theory
Lotfi Zadeh , Anca Ralescu
Planning, Scheduling, and Uncertainty in the Sequence of Future Events
B. Fox , Karl Kempf
Predicting The Performance of Minimax and Product in Game-Tree
Ping-Chung Chi , Dana Nau
Probabilistic Reasoning About Ship Images
Lashon Booker , Naveen Hota
Propagation of Belief Functions: A Distributed Approach
Prakash Shenoy , Glenn Shafer , Khaled Mellouli
Qualitative Probabilistic Networks for Planning Under Uncertainty
Michael Wellman
Reasoning With Uncertain Knowledge
A. Craddock , Roger Browse
Some Extensions of Probabilistic Logic
Su-shing Chen
Taxonomy, Structure, and Implementation of Evidential Reasoning
Moshe Ben-Bassat
The Myth of Modularity in Rule-Based Systems
David Heckerman , Eric Horvitz
The Rational and Computational Scope of Probabilistic Rule-Based Expert Systems
Shimon Schocken
Towards a General-Purpose Belief Maintenance System
Brian Falkenhainer
Towards The Inductive Acquisition of Temporal Knowledge
Kaihu Chen

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