From the authors' preface: This edition of the book presents the changes that have occurred in AI since the previous edition of 2010: Overall, about 25% of the book's content is entirely new. The remaining 75% has been largely rewritten to provide a more unified picture of the field. 22% of the bibliographic references in this edition pertain to works published from 2010 onwards.

Contents:

•Part I: Artificial Intelligence
•Introduction
•Intelligent agents

•Part II: Problem Solving
•Problem solving by search
•Search in complex environments
•Search with adversarialness and games
•Constraint satisfaction problems

•Part III: Knowledge, reasoning, and planning
•Logical agents
•First-order logic
•Inference in first-order logic
•Knowledge representation
•Automated planning

•Part IV: Uncertain knowledge and reasoning
•Quantifying uncertainty
•Probabilistic reasoning
•Probabilistic reasoning over time
•Probabilistic planning
•Decision making under uncertainty
•Decision making under complex conditions
•Multi-agent decision making

•Part V: Machine Learning
•Learning from examples
•Learning probabilistic models
•Deep learning
•Reinforcement learning

•Part VI: Communication, perception, and action
•Natural language processing
•Deep learning for natural language processing
•Computer vision
•Robotics

•Part VII: Conclusions
•Philosophy, ethics, and safety of AI
•The future of AI
•Appendices