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Uncertainty in artificial intelligence 5 /
This volume, like its predecessors, reflects the cutting edge of research on the automation of reasoning under uncertainty. A more pragmatic emphasis is evident, for although some papers address fundamental issues, the majority address practical issues. Topics include the relations between alternati...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York :
North-Holland,
1990.
|
| Colección: | Machine intelligence and pattern recognition ;
v. 10. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 245 | 0 | 0 | |a Uncertainty in artificial intelligence 5 / |c edited by Max Henrion [and others]. |
| 264 | 1 | |a Amsterdam ; |a New York : |b North-Holland, |c 1990. | |
| 264 | 2 | |a New York, N.Y., U.S.A. : |b Distributors for the U.S. and Canada, Elsevier Science Pub. Co. | |
| 264 | 4 | |c �1990 | |
| 300 | |a 1 online resource (xiv, 459 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Machine intelligence and pattern recognition ; |v volume 10 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Front Cover; Uncertainty in Artificial Intelligence 5; Copyright Page; Preface; Table of Contents; Reviewers; Program Committee; Contributors; PART I: FUNDAMENTAL ISSUES; Chapter 1. Lp-A Logic for Statistical Information; 1 Introduction; 2 Other Probability Logics; 3 Types of Statistical Knowledge; 4 Syntax and Semantics; 5 Syntax; 6 Examples of Representation; 7 Deductive Proof Theory; 8 Degrees of Belief; Acknowledgments; References; CHAPTER2. REPRESENTING TIME IN CAUSAL PROBABILISTIC NETWORKS; 1 INTRODUCTION1; 2 THE DISTRIBUTION OF TIME; 3 MARKED POINT PROCESS REPRESENTATION. | |
| 505 | 8 | |a 4 NETWORKS OF ""DATES""Acknowledgements; References; CHAPTER3. CONSTRUCTING THE PIGNISTIC PROBABILITY FUNCTION IN A CONTEXT OF UNCERTAINTY; 1. Introduction; 2. The credibility function; 3. a-combined credibility spaces; 4. The pignistic probability function; 5. Co-credibility function; 6. The Moebius transformations of Cr; 7. Conclusions; Bibliography; Acknowledgements; Chapter 4. Can Uncertainty Management Be Realized In A Finite Totally Ordered Probability Algebra?; 1 Introduction; 2 Finite totally ordered probability algebras; 3 Bayes theorem and reasoning by case. | |
| 505 | 8 | |a 4 Problems with legal finite totally ordered probability5 An experiment; 6 Conclusion; Acknowledgements; References; Appendix A: Derivation of; Appendix B: Examples of legal FTOPAs; Appendix C; PART Il: DEFEASIBLE REASONING AND UNCERTAINTY; Chapter 5. Defeasible Reasoning and Uncertainty: Comments; 1 Overview; 2 Goldszmidt & Pearl; 3 Bonissone et al; 4 Loui; 5 Reference Classes: What They Didn't Talk About, But Somebody Should!; Acknowledgements; References; Chapter 6. Uncertainty and Incompleteness: Breaking the Symmetry of Defeasible Reasoning ; 1 Introduction; 2 Plausible Reasoning Module. | |
| 505 | 8 | |a 3 Finding Admissible Labelings4 Algorithms and Heuristics; 5 Conclusions; References; Chapter 7. Deciding Consistency of Databases Containing Defeasible and Strict Information; 1 Introduction; 2 Notation and Preliminary Definitions; 3 Probabilistic Consistency and Entailment; 4 An Effective Procedure for Testing Consistency; 5 Examples; 6 Conclusions; Acknowledgments; References; CHAPTER8. DEFEASIBLE DECISIONS: WHAT THE PROPOSAL IS AND ISN'T; 1 WHAT THE PROPOSAL IS; 2 WHAT THE PROPOSAL ISN'T; 3 AN OPEN CONVERSATION WITH RAIFFA. | |
| 505 | 8 | |a CHAPTER9. CONDITIONING ON DISJUNCTIVE KNOWLEDGE: SIMPSON'S PARADOX IN DEFAULT LOGIC1. INTRODUCTION; 2. DOES AN EMU OR OSTRICH RUN?; 3. ARTS STUDENTS AND SCIENCE STUDENTS; 4. DISCUSSION OF THE PARADOX; 6. CONCLUSIONS; ACKNOWLEDGEMENTS; REFERENCES; PART Ill: ALGORITHMS FOR INFERENCE IN BELIEF NETS; Chapter 10. An Introduction to Algorithms for Inference in Belief Nets; 1. Introduction; 2. Qualitative, real, and interval-valued belief representations; 3. Early approaches; 4. Exact methods; 5. Two level belief networks; 6. Stochastic simulation and Monte Carlo schemes; 7. Final remarks. | |
| 520 | |a This volume, like its predecessors, reflects the cutting edge of research on the automation of reasoning under uncertainty. A more pragmatic emphasis is evident, for although some papers address fundamental issues, the majority address practical issues. Topics include the relations between alternative formalisms (including possibilistic reasoning), Dempster-Shafer belief functions, non-monotonic reasoning, Bayesian and decision theoretic schemes, and new inference techniques for belief nets. New techniques are applied to important problems in medicine, vision, robotics, and natural language und. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Uncertainty (Information theory) | |
| 650 | 0 | |a Reasoning. | |
| 650 | 2 | |a Artificial Intelligence |0 (DNLM)D001185 | |
| 650 | 6 | |a Intelligence artificielle. |0 (CaQQLa)201-0008626 | |
| 650 | 6 | |a Incertitude (Th�eorie de l'information) |0 (CaQQLa)201-0003328 | |
| 650 | 7 | |a artificial intelligence. |2 aat |0 (CStmoGRI)aat300251574 | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a Artificial intelligence |2 fast |0 (OCoLC)fst00817247 | |
| 650 | 7 | |a Reasoning |2 fast |0 (OCoLC)fst01091282 | |
| 650 | 7 | |a Uncertainty (Information theory) |2 fast |0 (OCoLC)fst01160838 | |
| 650 | 7 | |a Incertitude. |2 ram | |
| 700 | 1 | |a Henrion, Max, |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Uncertainty in artificial intelligence 5 |z 0444887385 |w (DLC) 90194014 |w (OCoLC)22452207 |
| 830 | 0 | |a Machine intelligence and pattern recognition ; |v v. 10. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780444887382 |z Texto completo |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/bookseries/09230459/10 |z Texto completo |