Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.
Expert Systems and Probabilistic Network Models
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First Sentence:
Not so long ago, it was generally believed that problems such as theorem proving, speech and pattern recognitions, game playing (e.g., chess and backgammon), and highly complex deterministic and stochastic systems can only be tackled by humans because their formulations and solutions require some abilities that are found only in humans (e.g., the ability to think, observe, memorize, learn, see, smell, etc.). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
current goal object, attainability matrix, ancestral numbering, chain rule factorizations, directed perfect map, initial marginal probabilities, evidential nodes, triangulated undirected graph, coherence control subsystem, polytree propagation algorithm, perfect numbering, nontriangulated graph, evidential variables, exact propagation methods, likelihood weighing, causal input list, associated undirected graph, strong union property, causal list, symbolic propagation, independency structure, initial goal object, binary symptoms, polytrees algorithm, perfect reap Key Phrases - Capitalized Phrases (CAPs): (learn more)
Modus Tollens, Modus Ponens, Gaussian Bayesian, France Rule, Egypt Rule, Spain Rule, X-pert Rules, Japan Rule, Network Prob, World Wide Web, Initialization Steps, Egypt Nancy, Japan Nancy, Egypt Tom, France Kathy, Objects Conclusions Contradictory New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Not so long ago, it was generally believed that problems such as theorem proving, speech and pattern recognitions, game playing (e.g., chess and backgammon), and highly complex deterministic and stochastic systems can only be tackled by humans because their formulations and solutions require some abilities that are found only in humans (e.g., the ability to think, observe, memorize, learn, see, smell, etc.). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
current goal object, attainability matrix, ancestral numbering, chain rule factorizations, directed perfect map, initial marginal probabilities, evidential nodes, triangulated undirected graph, coherence control subsystem, polytree propagation algorithm, perfect numbering, nontriangulated graph, evidential variables, exact propagation methods, likelihood weighing, causal input list, associated undirected graph, strong union property, causal list, symbolic propagation, independency structure, initial goal object, binary symptoms, polytrees algorithm, perfect reap Key Phrases - Capitalized Phrases (CAPs): (learn more)
Modus Tollens, Modus Ponens, Gaussian Bayesian, France Rule, Egypt Rule, Spain Rule, X-pert Rules, Japan Rule, Network Prob, World Wide Web, Initialization Steps, Egypt Nancy, Japan Nancy, Egypt Tom, France Kathy, Objects Conclusions Contradictory New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 82
books:
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42
books
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- Uncertainty in Artificial Intelligence (Volume 4 of Machine Intelligence and Pattern Recognition) (Vol 1) by R. K. Ghatnagar on 10 pages
- The Handbook of Artificial Intelligence, Volume IV by Avron Barr on page 16, Back Matter (1), and Back Matter (2)
- Discrete Mathematics by Wiley in Back Matter (1), Back Matter (2), and Back Matter (3)
- Graphical Models (Oxford Statistical Science Series) by Steffen L. Lauritzen in Back Matter (1), Back Matter (2), and Back Matter (3)
- Encyclopedia of Artificial Intelligence by Stuart C. Shapiro on page 16, and Back Matter
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- Handbook of Defeasible Reasoning and Uncertainty Management Systems - Volume 4: Abductive Reasoning and Learning by Dov M. Gabbay on page 313, and page 384
- Genomic Signal Processing and Statistics (Eurasip Book Series on Signal Processing and Communications) (Pt. 2) by Edward R. Dougherty on page 316
- Programming for Peace: Computer-Aided Methods for International Conflict Resolution and Prevention (Advances in Group Decision and Negotiation) (English and English Edition) by Robert Trappl on page 333
- Metainformatics: International Symposium, MIS 2002, Esbjerg, Denmark, August 7-10, 2002, Revised Papers (Lecture Notes in Computer Science) (v. 2641) by Peter J. Nürnberg on page 153
- Biological and Medical Data Analysis: 5th International Symposium, ISBMDA 2004, Barcelona, Spain, November 18-19, 2004, Proceedings (Lecture Notes in Computer Science) by José María Barreiro on page 223
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