Artificial Intelligence - A Modern Approach

Klappentext 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. Zusammenfassung 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 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

Product details

• Authors: Peter Norvig, Struart Russell, Stuart Russell, Stuart J Russell, Stuart J. Russell
• Publisher: Prentice Hall
• Languages: English
• Product format: Paperback / Softback
• Released: 01.03.2017
• EAN: 9781292153964
• ISBN: 978-1-292-15396-4
• Dimensions: 204 mm x 255 mm x 40 mm
• Series: Prentice Hall Series in Artificial Intelligence; Always Learning; Pearson; Pearson; Always Learning; Prentice Hall Series in Artificial Intelligence
• Subjects: Education and learning > Teaching preparation > Vocational needs; Natural sciences, medicine, IT, technology > IT, data processing > IT