by Stuart Russell and Peter Norvig
The authoritative, most-used AI textbook, adopted by over 1500 schools.Table of Contents for the Global Edition (or see the US Edition)
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Preface (pdf); Contents with subsections (pdf) 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 (pdf and LaTeX .bib file and bib data) Index (pdf) Exercises (website) Figures (pdf) Code (website); Pseudocode (pdf) Covers: US, Global |
