Artificial intelligence : A modern approach
Guardado en:
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| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
Noida :
Pearson,
2022
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| Edición: | 4th ed. |
| Series: | Pearson series in Artificial Intelligence
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| Materias: |
Tabla de Contenidos:
- I- Artificial Intelligence - - 1. Introduction - - 2. Intelligent agents - - II. Problem-solving - - 3. Solving problems by searching - - 4. Search in complex environments - - 5. Constraint satisfaction problems - - 6. Adversarial search and games - - III Knowledge, reasoning, and planning - - 7. Logical agents - - 8. First-Order Logic - - 9. Inference in First-Order Logic - - 10. Knowledge representation - - 11. Automated planning - - IV. Uncertain knowledge and reasoning - - 12. Quantifying uncertainty - - 13.Probabilistic reasoning - - 14. Probabilistic reasoning overtTime - - 15. Making simple decisions - - 16. Making complex decisions - - 17. Multiagent decision making - -V. Machine learning - - 18. Learning from examples - - 19. Knowledge in learning - - 20. Learning probabilistic models - - 21. Deep learning - - 22. Reinforcement learning - - VI. Communicating, perceiving, and acting - - 23. Natural language processing - - 24. Deep learning for natural language processing - - 25. Robotics - - 26. Computer vision - - VII. Conclusions - - 27. Philosophy, ethics, and safety of AI - - 28. The future of AI - - A. Mathematical background - - B. Notes on Languages and algorithms