دانلود کتاب Uncertainty in Artificial Intelligence

فهرست مطالب :

Content:
Machine Intelligence and Pattern RecognitionPage ii
Front MatterPage iii
Copyright pagePage iv
PrefacePages v-viLaveen N. Kanal, John F. Lemmer
ContributorsPages vii-viii
Models vs. Inductive Inference for Dealing with Probabilistic KnowledgePages 3-9N.C. DALKEY
An Axiomatic Framework for Belief UpdatesPages 11-22David E. Heckerman
The Myth of Modularity in Rule-Based Systems for Reasoning with UncertaintyPages 23-34David E. Heckerman, Eric J. Horvitz
Imprecise Meanings as a Cause of Uncertainty in Medical Knowledge-Based SystemsPages 35-41STEVEN J. HENKIND
Evidence as Opinions of ExpertsPages 43-53Robert Hummel, Michael Landy
Probabilistic Logic: Some Comments and Possible use for Nonmonotonic ReasoningPages 55-62Mary McLeish
Experiments with Interval-Valued UncertaintyPages 63-75Richard M. Tong, Lee A. Appelbaum
Evaluation of Uncertain Inference Models I: Prospector*Pages 77-87Robert M. Yadrick, Bruce M. Perrin, David S. Vaughan, Peter D. Holden, Karl G. Kempf
Experimentally Comparing Uncertain Inference Systems to ProbabilityPages 89-99Ben P. Wise
Knowledge Engineering within a Generalized Bayesian FrameworkPages 103-114Stephen W. Barth, Steven W. Norton
Learning to Predict: An Inductive ApproachPages 115-123Kaihu Chen
Towards a General-Purpose Belief Maintenance SystemPages 125-131Brian Falkenhainer
A Non-Iterative Maximum Entropy AlgorithmPages 133-148Sally A. Goldman, Ronald L. Rivest
Propagating Uncertainty in Bayesian Networks by Probabilistic Logic SamplingPages 149-163Max HENRION
An Explanation Mechanism for Bayesian Inferencing SystemsPages 165-173Steven W. Norton
On the Rational Scope of Probabilistic Rule-Based Inference SystemsPages 175-189Shimon Schocken
David: Influence Diagram Processing System for the MacintoshPages 191-196Ross D. Shachter
Qualitative Probabilistic Networks for Planning Under UncertaintyPages 197-208Michael P. Wellman
On Implementing Usual Values*Pages 209-217Ronald R. Yager
Some Extensions of Probabilistic LogicPages 221-227Su-shing Chen
Belief as Summarization and Meta-SupportPages 229-236A. Julian Craddock, Roger A. Browse
Non-Monotonicity In Probabilistic ReasoningPages 237-249Benjamin N. Grosof
A Semantic Approach to Non-Monotonic EntailmentsPages 251-262James Hawthorne
KnowledgePages 263-272Henry E. Kyburg Jr.
Computing Reference ClassesPages 273-289Ronald P. Loui
Distributed Revision of Belief Commitment in Composite Explanations*ᾠPages 291-315Judea Pearl
A Backwards View for AssessmentPages 317-324Ross D. Shachter, David E. Heckerman
Propagation of Belief Functions: A Distributed ApproachPages 325-335Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli
Generalizing Fuzzy Logic Probabilistic InferencesPages 337-362Silvio URSIC
The Sum-and-Lattice-Points Method Based on an Evidential-Reasoning System Applied to the Real-Time Vehicle Guidance ProblemPages 365-370Shoshana ABEL
Probabilistic Reasoning About Ship ImagesPages 371-379Lashon B. BOOKER, Naveen HOTA
Information and Multi-Sensor CoordinationPages 381-394Greg Hager, Hugh F. Durrant-Whyte
Planning, Scheduling, and Uncertainty in the Sequence of Future Events*Pages 395-401B.R. Fox, K.G. Kempf
Evidential Reasoning in a Computer Vision SystemPages 403-412Ze-Nian Li, Leonard Uhr
Bayesian Inference for Radar Imagery Based SurveillancePages 413-421Tod S. Levitt
A Causal Bayesian Model for the Diagnosis of AppendicitisPages 423-434Stanley M. Schwartz, Jonathan Baron, John R. Clarke
Estimating Uncertain Spatial Relationships in Robotics*Pages 435-461Randall Smith, Matthew Self, Peter Cheeseman