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

By: Contributor(s): Material type: TextLanguage: English Series: Pearson series in artificial intelligencePublisher: Hoboken, NJ : Pearson, [2021]Edition: Fourth editionDescription: xviii, 1115 sidor illustrationer 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780134610993
  • 0134610997
Subject(s): DDC classification:
  • 006.3 23
Contents:
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
Summary: 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. Provided by publisher.
Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Bok Orkanenbiblioteket 000-099 006.3 rus Checked out 2026-09-22 3204330401
Bok Orkanenbiblioteket 000-099 006.3 rus Checked out 2026-09-18 3204330410
Bok Orkanenbiblioteket 000-099 006.3 rus EJ HEMLÅN 3204330439
Total holds: 0

Includes bibliographical references and index.

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. Provided by publisher.