Mathematical Methods in Artificial IntelligenceISBN: 978-0-8186-7200-2
Paperback
656 pages
February 1996, Wiley-IEEE Computer Society Press
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Preface.
Dear Student.
1. First Things.
2. Trees and Search.
3. The Concepts of Predicate Logic.
4. The Theory of Resolution.
5. Let's Get Real.
6. Nonmonotonic Reasoning.
7. Probability Theory.
8. Bayesian Networks.
9. Fuzziness and Belief Theory.
10. What Is It?
11. Neural Networks and Minimization.
12. Probability, Statistics, and Information.
13. Decision Trees, Neural Nets, and Search.
14. Last Things.
Subject Index.
Author Index.
Dear Student.
1. First Things.
2. Trees and Search.
3. The Concepts of Predicate Logic.
4. The Theory of Resolution.
5. Let's Get Real.
6. Nonmonotonic Reasoning.
7. Probability Theory.
8. Bayesian Networks.
9. Fuzziness and Belief Theory.
10. What Is It?
11. Neural Networks and Minimization.
12. Probability, Statistics, and Information.
13. Decision Trees, Neural Nets, and Search.
14. Last Things.
Subject Index.
Author Index.
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