I Artificial Intelligence
1 Introduction
2 Intelligent Agents
II Problem-solving
3 Solving Problems by Searching
4 Search in Complex Environments
5 Adversarial Search and Games
6 Constraint Satisfaction Problems
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 Probabilistic Programming
16 Making Simple Decisions
17 Making Complex Decisions
18 Multiagent Decision Making
V Machine Learning
19 Learning from Examples
20 Learning Probabilistic Models
21 Deep Learning
22 Reinforcement Learning
VI Communicating, perceiving, and acting
23 Natural Language Processing
24 Deep Learning for Natural Language Processing
25 Computer Vision
26 Robotics
VII Conclusions
27 Philosophy, Ethics, and Safety of AI
28 The Future of AI
Appendix A: Mathematical Background
Appendix B: Notes on Languages and Algorithms
