Artificial intelligence : a modern approach / Stuart J. Russell and Peter Norvig.

• PART I: Artificial Intelligence -- 1. Introduction -- 2. Intelligent Agents -- PART II: Problem Solving -- 3. Solving Problems by Searching -- 4. Search in Complex Environments -- 5. Adversarial Search and Games -- 6. Constraint Satisfaction Problems -- PART III: Knowledge and Reasoning -- 7. Logical Agents -- 8. First-Order Logic -- 9. Inference in First-Order Logic -- 10. Knowledge Representation -- 11. Automated Planning -- 12. Quantifying Uncertainty -- PART IV: Uncertain Knowledge and Reasoning -- 13. Probabilistic Reasoning -- 14. Probabilistic Reasoning over Time -- 15. Probabilistic Programming -- 16. Making Simple Decisions -- 17. Making Complex Decisions -- PART V: Learning -- 18. Multiagent Decision Making -- 19. Learning from Examples -- 20. Learning Probabilistic Models -- 21. Deep Learning -- PART VI: Communicating, Perceiving, and Acting -- 22. Reinforcement Learning -- 23. Natural Language Processing -- 24. Deep Learning for Natural Language Processing -- 25. Robotics -- PART VII: Conclusions -- 26. Philosophy and Ethics of AI -- 27. The Future of AI -- APPENDIX A: Mathematical Background -- APPENDIX B: Notes on Languages and Algorithms. 

• 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 brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI. 

Ämnesord

Artificiell intelligens  (sao)

Artificial intelligence.  (LCSH)

Artificial intelligence.  (fast)

Artificial intelligence  (LCSH)

Indexterm och SAB-rubrik

Pud Artificiell intelligens

Klassifikation

Q335 (LCC)

006.3 (DDC)

Pud (kssb/8)