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Artificial intelligence : a modern approach
Adapation autorisée de la 4e édition du même titre parue aux États-unis, ISBN 978-0-13-461099-3, Pearson education (C 2021)The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition bri...
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| Main Authors : | , |
|---|---|
| Format : | Book |
| Language : | anglais |
| Title statement : | Artificial intelligence : a modern approach / Stuart J. Russell and Peter Norvig |
| Edition : | Fourth edition, global edition |
| Published : |
Harlow :
Pearson education limited
, C 2022 |
| Physical Description : | 1 vol. (1166 p.) |
| Series : | Pearson series in artificial intelligence |
| Subjects : |
- Part I: Artificial Intelligence
- 1. Introduction
- 2. Intelligent Agents
- Part II: Problem Solving
- 3. Solving Problems by Searching
- 4. Search in Complex Environments
- 5. Constraint Satisfaction Problems
- 6. Adversarial Search and Games
- Part III: Knowledge, Reasoning and Planning
- 7. Logical Agents
- 8. First-Order Logic
- 9. Inference in First-Order Logic
- 10. Knowledge Representation
- 11. Automated Planning
- Part IV: Uncertain Knowledge and Reasoning
- 12. Quantifying Uncertainty
- 13. Probabilistic Reasoning
- 14. Probabilistic Reasoning over Time
- 15. Making Simple Decisions
- 16. Making Complex Decisions
- 17. Multiagent Decision Making
- 18. Probabilistic Programming
- Part V: Machine Learning
- 19. Learning from Examples
- 20. Knowledge in learning
- 21. Learning probabilistic models
- 22. Deep learning
- 23. Reinforcement learning
- Part VI: Communicating, perceiving, and acting
- 24: Natural Language Processing
- 25: Deep Learning for Natural Language Processing
- 26: Robotics
- 27: Computer vision
- VII Conclusions
- 28: Philosophy, ethics, and safety of AI
- 29The future of AI