morgan@unix.SRI.COM (Morgan Kaufmann) (10/12/90)
Morgan Kaufmann Publishers announces a new title in the Series in
Representation and Reasoning (edited by Ronald J. Brachman)
READINGS IN UNCERTAIN REASONING
Edited by
Glenn Shafer (University of Kansas) and
Judea Pearl (UCLA)
Most everyday reasoning and decision making is based on uncertain
premises. Human actions are based on guesses, often requiring
explicit weighing of conflicting stimuli and evidence. The
readings in this book address the methods that have been used in
artificial intelligence to build systems with the ability to manage
uncertainty.
An authoritative and thorough collection of work, this volume
presents forty two key papers from the literature. In addition,
the editors have provided introductions to the volume and to groups
of papers that offer informative commentary and unifying
perspective. In selecting the readings for the volume, the
editors have represented all of the major approaches to work in the
field and have related them to the historical tradition of
probabilistic methods.
This volume will be useful as a text or supplement for courses in
artificial intelligence with an emphasis on expert systems and
commonsense reasoning. It will also be a valuable reference for
researchers, system developers and students in computer science,
statistics, operations research, engineering, cognitive science and
many other fields.
768 pages, softcover
ISBN 1-55860-125-2
Price $38.95
TABLE OF CONTENTS
Acknowledgments
Introduction by Glenn Shafer and Judea Pearl
The Meaning Of Probability
Introduction by Glenn Shafer
The Foundations of Statistics Reconsidered (1961) L.J. Savage
Why Isn't Everyone a Bayesian? (1986) B. Efron
Judgment under Uncertainty: Heuristics and Biases (1974) A.
Tversky and D. Kahneman
Languages and Designs for Probability Judgment (1985) G.
Shafer and A. Tversky
Conditional Independence and Its Representations (1989)
J. Pearl, D. Geiger, and T. Verma
Decision Making
Introduction by Glenn Shafer
A Tutorial Introduction to Decision Theory (1968) D. W. North
Evaluating Influence Diagrams (1986) R. D. Shachter
Rational Choice and the Framing of Decisions (1986) A. Tversky
and D. Kahneman
Critical Decisions under Uncertainty: Representation and
Structure (1988) B. Kuipers, A. J. Moskowitz, and
J. P. Kassirer
Savage Revisited (1986) G. Shafer
Computer Programs to Support Clinical Decision Making (1987)
E.H. Shortliffe
Architectures and Strategies for Reasoning Under Uncertainty
Introduction by Paul R. Cohen
The Control of Reasoning under Uncertainty: A Discussion of
Some Programs (1987) P. R. Cohen
Predictability Versus Responsiveness: Coordinating Problem
Solvers in Dynamic Domains (1987) E. H. Durfee and
V. R. Lesser
A Robust Layered Control System For A Mobile Robot (1986)
R. A. Brooks
A Therapy Planning Architecture That Combines Decision Theory
and Artificial Intelligence Techniques (1987)
C. P. Langlotz, L. M. Fagan, S. W. Tu, B. I. Sikic, and
E. H. Shortliffe
Summarizing and Propagating Uncertain Information with
Triangular Norms (1987) P. P. Bonissone
Numerical Uncertainty In Expert Systems
Introduction by Judea Pearl
A Model of Inexact Reasoning in Medicine (1975)
E. H. Shortliffe and B. G. Buchanan
Subjective Bayesian Methods For Rule-Based Inference Systems
(1976) R. O. Duda, P. E. Hart, and N. J. Nilsson
Categorical and Probabilistic Reasoning in Medical Diagnosis
(1978) P. Szolovits and S. G. Pauker
Probabilistic Interpretations for MYCIN's Certainty Factors
(1986) D. Heckerman
A Statistical View of Uncertainty in Expert Systems (1986)
D. J. Spiegelhalter
HUGIN -- A Shell for Building Bayesian Belief Universes for
Expert Systems (1989) S. K. Andersen, K. G. Olesen,
F. V. Jensen, and F. Jensen
The Bayesian Approach
Introduction by Judea Pearl
Bayesian Decision Methods (1987) J. Pearl
Probability, Frequency and Reasonable Expectation (1946)
R. T. Cox
Fusion, Propagation, and Structuring in Belief Networks (1986)
J. Pearl
Local Computations with Probabilities on Graphical Structures
and Their Application to Expert Systems (1988)
S. L. Lauritzen and D. J. Spiegelhalter
On Evidential Reasoning in a Hierarchy of Hypotheses (1987)
J. Pearl
Stochastic Relaxation, Gibbs Distributions, and the Bayesian
Restoration of Images (1984) S. Geman and D. Geman
Belief Functions
Introduction by Glenn Shafer
The Bayesian and Belief-Function Formalisms A General
Perspective for Auditing (1990) G. Shafer and
R. Srivastava
Uncertain Evidence and Artifical Analysis (1988)
A. P. Dempster and A. Kong
The Dempster-Shafer Theory of Evidence (1984) J. Gordon and
E. H. Shortliffe
Bayesian and Belief-Functions Formalisms for Evidential
Reasoning: A Conceptual Analysis (1989) J. Pearl
Axioms for Probability and Belief-Function Propagation (1990)
P. P. Shenoy and G. Shafer
A Framework for Evidential-Reasoning Systems (1986)
J. D. Lowrance, T. D. Garvey, and T. M. Strat
Evidential Reasoning Using DELIEF (1988) D. Zarley,
Y.-T. Hsia, and G. Shafer
Non-Numerical Approaches To Plausible Inference
Introduction by Glenn Shafer and Judea Pearl
Fragments of a Theory of Human Plausible Reasoning (1978)
A. Collins
Nonmonotonic Reasoning (1967) R. Reiter
Extended Inference Modes in Reasoning by Computer Systems
(1980) T. Winograd
Implicit Ordering of Defaults in Inheritance Systems (1984)
D. S. Touretzky
An Endorsement-Based Plan Recognition Program (1985)
M. Sullivan and P. R. Cohen
Integrating Probability And Logic
Introduction by Judea Pearl
Probabilistic Logic (1986) N. J. Nilsson
Methodological Simplicity in Expert System Construction: The
Case of Judgments and Reasoned Assumptions (1983) J.
Doyle
Belief Maintenance: An Integrated Approach to Uncertainty
Management (1988) K. B. Laskey and P. E. Lehner
Probabilistic Semantics for Nonmonotonic Reasoning: A Survey
(1989) J. Pearl
Qualitative Probabilistic Networks for Planning Under
Uncertainty (1988) M. P. Wellman
Defaults and Probabilities; Extensions and Coherence (1989)
E. Neufeld
Embracing Causality in Default Reasoning (1988) J. Pearl
An Introduction to Possibilistic and Fuzzy Logics (1988)
D. Dubois and H. Prade
Author Index
Subject Index
_________________________________________________________________
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