Artificial intelligence : a modern approach
| Autor Principal: | |
|---|---|
| Otros autores o Colaboradores: | |
| Formato: | Libro |
| Lengua: | inglés |
| Datos de publicación: |
Harlow :
Pearson Education,
2022
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| Edición: | 4th ed., global edition |
| Temas: | |
| Acceso en línea: | Consultar en el Cátalogo |
| Notas: | Incluye índice y bibliografía. |
| Descripción Física: | 1166 p. : il. col. |
| ISBN: | 9781292401133 |
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 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
- Appendix A: Mathematical Background
- Appendix B: Notes on Languages and Algorithms
- Bibliography
- Index