Artificial Intelligence
A Modern Appoach. Global Edition
(Sprache: Englisch)
For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial...
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For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. View chapters 3 and 4 from the Third Edition.
Klappentext zu „Artificial Intelligence “
For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.
Inhaltsverzeichnis zu „Artificial Intelligence “
- I. Artificial Intelligence
- 1. Introduction2. Intelligent Agents
- II. Problem-solving
- 3. Solving Problems by Searching
- 4. Beyond Classical Search
- 5. Adversarial Search
- 6. Constraint Satisfaction Problems
- III. Knowledge, Reasoning, and Planning
- 7. Logical Agents
- 8. First-Order Logic
- 9. Inference in First-Order Logic
- 10. Classical Planning
- 11. Planning and Acting in the Real World
- 12 Knowledge Representation
- IV. Uncertain Knowledge and Reasoning13. Quantifying Uncertainty
- 14. Probabilistic Reasoning
- 15. Probabilistic Reasoning over Time
- 16. Making Simple Decisions
- 17. Making Complex Decisions
- V. Learning18. Learning from Examples
- 19. Knowledge in Learning
- 20. Learning Probabilistic Models
- 21. Reinforcement Learning
- VI. Communicating, Perceiving, and Acting22. Natural Language Processing
- 23. Natural Language for Communication
- 24. Perception
- 25. Robotics
- VII. Conclusions
- 26 Philosophical Foundations
- 27. AI: The Present and Future
- A. Mathematical Background
- B. Notes on Languages and Algorithms
- Bibliography
- Index
Autoren-Porträt von Stuart J. Russell, Peter Norvig
Peter Norvig ist Director for Search Quality bei Google, Inc. Er war vorher an der University of Southern California und der University of California in Berkeley tätig.
Bibliographische Angaben
- Autoren: Stuart J. Russell , Peter Norvig
- 2019, 3rd ed., 1152 Seiten, mit Abbildungen, Maße: 20 x 25,4 cm, Kartoniert (TB), Englisch
- Verlag: PEV
- ISBN-10: 1292153962
- ISBN-13: 9781292153964
- Erscheinungsdatum: 27.05.2016
Sprache:
Englisch
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