by Stuart Russell and Peter Norvig
The authoritative, most-used AI textbook, adopted by over 1500 schools.Table of Contents for the US Edition (or see the Global Edition)
Preface (pdf); Contents with subsections I Artificial Intelligence 1 Introduction ... 1 2 Intelligent Agents ... 36 II Problem-solving 3 Solving Problems by Searching ... 63 4 Search in Complex Environments ... 110 5 Adversarial Search and Games ... 146 6 Constraint Satisfaction Problems ... 180 III Knowledge, reasoning, and planning 7 Logical Agents ... 208 8 First-Order Logic ... 251 9 Inference in First-Order Logic ... 280 10 Knowledge Representation ... 314 11 Automated Planning ... 344 IV Uncertain knowledge and reasoning 12 Quantifying Uncertainty ... 385 13 Probabilistic Reasoning ... 412 14 Probabilistic Reasoning over Time ... 461 15 Probabilistic Programming ... 500 16 Making Simple Decisions ... 528 17 Making Complex Decisions ... 562 18 Multiagent Decision Making ... 599 |
V Machine Learning 19 Learning from Examples ... 651 20 Learning Probabilistic Models ... 721 21 Deep Learning ... 750 22 Reinforcement Learning ... 789 VI Communicating, perceiving, and acting 23 Natural Language Processing ... 823 24 Deep Learning for Natural Language Processing ... 856 25 Computer Vision ... 881 26 Robotics ... 925 VII Conclusions 27 Philosophy, Ethics, and Safety of AI ... 981 28 The Future of AI ... 1012 Appendix A: Mathematical Background ... 1023 Appendix B: Notes on Languages and Algorithms ... 1030 Bibliography ... 1033 (pdf and LaTeX .bib file and bib data) Index ... 1069 (pdf) Exercises (website) Figures (pdf) Code (website); Pseudocode (pdf) Covers: US, Global |