상세정보

This second volume is arranged in four sections: Analysis contains papers which compare the attributes of various approaches to uncertainty. Tools provides sufficient information for the reader to implement uncertainty calculations. Papers in the Theory section explain various approaches to uncertainty. The Applications section describes the difficulties involved in, and the results produced by, incorporating uncertainty into actual systems.

정보제공 :

CONTENTS
Preface = ⅴ
Contributors = ⅶ
Ⅰ. ANALYSIS
 Models vs. Inductive Inference for Dealing with Probabilistic Knowledge / N.C.Dalkey = 3
 An Axiomatic Framework for Belief Updates / D.E. Heckerman = 11
 The Myth of Modularity in Rule-Based Systems for Reasoning with uncertainty / D.E. Heckerman ; E.J. Horvitz = 23
 Imprecise meanings as a Cause of Uncertainty in Medical Knowledge-Based Systems / S.J. Henkind = 35
 Evidence as Opinions of Experts / R. Hummel ; M. Landy = 43
 Probabilistic Logic: Some Comments and possible use for Nonmonotonic Reasoning / M.McLeish = 55
 Experiments with Interval-Valued Uncertainty / R.M.Tong ; L.A.Appelbaum = 63
 Evaluation of Uncertain Inference ModelsⅠ: PROSPECTOR R.M.Yadric, B.M. Perrin, D. S. Vaughan, P.D. Holden, and K.G.Kempf = 77
 Experimentally comparing Uncertain Inference Systems to Probability / B.P. Wise = 89
Ⅱ. TOOLS
 Knowledge Engineering within a Generalized Bayesian Framework / S.W.Barth ; S. W. Norton = 103
 Learning to Predict: An Inductive Approach / K. Chen = 115
 Towards a general-Purpose Belief Maintenance System / B. Falkenhainer = 125
 A Non-Iterative maximum Entropy Algorithm / S.A. goldman ; R.L. Rivest = 133
 Propagating Uncertainty in Bayesian Networks by Probabilistic Logic Sampling / M. Henrion = 149
 An Explanation Mechanism for Bayesian Inferencing Systems / S.W.Norton = 165
 On the Rational Scope of probabilistic Rule-Based Inference Systems / S. Schocken = 175
 DAVID: Influence Diagram Processing System for the Macintosh / R.D. Shachter = 191
 Qualitative Probabilistic Networks for Planning under Uncertainty / M.P. Wellman = 197
 On Implementing Usual Values / R.R. Yager = 209
Ⅲ. THEORY
 Some Extensions of Probabilistic Logic / S.-S. Chen = 221
 Belief as Summarization and Metasupport / A.J. Craddock ; R.A. Browse = 229
 Non-Monotonicity in Probabilistic Reasoning / B.N. Grosof = 237
 A Semantic Approach to Non-Monotonic Entailments / J. Hawthorne = 251
 Knowledge / H.E.Kyburg, Jr. = 263
 Computing Reference Classes / R.P. Loui = 273
 Distributed Revision of Belief Commitment in Composite Explanations / J. Pearl = 291
 A Backwards View for Assessment / R.D. Shachter ; D. Heckerman = 317
 Propagation of Belief Functions: A Distributed Approach / P.P. Shenoy ; G.Shafer ; K. Mellouli = 325
 Generalizing Fuzzy Logic Probabilistic Inferences / S. Ursic = 337
Ⅳ. APPLICATIONS
 The Sum-and -Lattice-Points Method Based on an Evidential-Reasoning System Applied to the Real-Time Vehicle Guidance Problem / S. Abel = 365
 Probabilistic Reasoning about Ship Images / L.B.Booker ; N.Hota = 371
 Information and Multi-sensor Coordination / G. Hager ; H.F. Durrant-Whyte = 381
 Planning, Scheduling, and Uncertainty in the Sequence of Future Events / B.R. Fox ; K.G. Kempf = 395
 Evidential Reasoning in a Computer Vision System / Z.-N. Li ; L. Uhr = 403
 Bayesian Inference for Radar Imagery Based Surveillance / T.S.Levitt = 413
 A. Causal Bayesian Model for the Diagnosis of Appendicitis / S.M.Schwartz ; J. Baron ; J. R. Clarke = 423
 Estimating Uncertain Spatial Relationships in Robotics / R. Smith ; M. Self ; P. Cheeseman = 435