Artificial intelligence : a modern approach /
| Autor principal: | |
|---|---|
| Otros Autores: | , , , |
| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
Harlow :
Pearson,
c2022.
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| Edición: | 4th ed., global edition |
| Colección: | Pearson series in Artificial Intelligence
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| Materias: | |
| Acceso en línea: | Tabla de contenidos extendida (último acceso: 28/9/2022) Acceso a materiales adicionales en la web (último acceso: 28/9/2022) Sitio del autor (último acceso:28/9/2022) |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 008 | 220928s2022 uka|||| 001 0 engdd | ||
| 020 | |a 9781292401133 | ||
| 040 | |a AR-OvUNE |c AR-OvUNE | ||
| 080 | 0 | |a 004.8 |b R956e.4 | |
| 100 | 1 | |a Russell, Stuart |9 6011 | |
| 245 | 1 | 0 | |a Artificial intelligence : |b a modern approach / |c Stuart J. Russell, Peter Norvig; contributing writers, Ming-Wei Chang, Jacob Devlin, Anca Dragan...(et.al.) |
| 250 | |a 4th ed., global edition | ||
| 260 | 2 | |a Harlow : |b Pearson, |c c2022. | |
| 300 | |a 1166 p : |b fig. col. ; |c 26 cm | ||
| 490 | |a Pearson series in Artificial Intelligence | ||
| 500 | |a El texto propone el uso de un repositorio institucional en: http://www.aima.cs.berkeley.edu | ||
| 500 | |a Tiene una página web asociada: http://www.librosite.net/russell | ||
| 505 | |a 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 over time -- 15. Making simple decisions -- 16. Making complex decisions -- 17. Multiagent decision making -- 18 Probabilistic programming -- V. Machine learning: 19. Learning from examples -- 20. Knowledge in learning -- 21. Learning probabilistic models -- 22.Deep learning -- 23. Reinforcement learning -- 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 -- 29. The future of AI -- A Mathematical Background -- B Notes on Languages and Algorithms -- Bibliography -- Index | ||
| 650 | 7 | |a Inteligencia artificial |9 12598 | |
| 650 | 7 | |a Aprendizaje automático |9 8495 | |
| 653 | |a AGENTES INTELIGENTES | ||
| 653 | |a AGENTES LÓGICOS | ||
| 653 | |a APRENDIZAJE PROFUNDO | ||
| 700 | 1 | |a Norvig, Peter |9 4892 | |
| 700 | 1 | |a Chang, Ming-Wei |9 31465 |e cont. | |
| 700 | 1 | |a Devlin, Jacob |9 31464 |c (Engineer) |e cont. | |
| 700 | 1 | |a Dragan, Anca |9 31463 |e cont. | |
| 856 | 4 | 2 | |u https://acortar.link/dQjjea |z Tabla de contenidos extendida (último acceso: 28/9/2022) |
| 856 | 4 | 2 | |u https://media.pearsoncmg.com/intl/ge/abp/resources/products/product.html#student,isbn=9781292401133 |z Acceso a materiales adicionales en la web (último acceso: 28/9/2022) |
| 856 | 4 | 2 | |u http://aima.eecs.berkeley.edu/global-index.html |z Sitio del autor (último acceso:28/9/2022) |
| 942 | |c LIB |2 udc |h 004.8 |6 0048 | ||
| 999 | |c 12939 |d 12939 | ||