Artificial intelligence: a modern approach / Stuart Russell and Peter Norving

I Artificial Intelligence
1 introduction
2 Intelligent Agents
II Problem-solving
3 Solving Problems by Searching...
4 informed Search and Exploration
5 Constraint Satisfaction Problems.
6 Adversarial Search
III Knowledge and reasoning
7 Logical Agents
8 First-Order Logic.
9 Inference in First-Order Logic
10 Knowledge Representation
IV Planning
11 Planning
12 Planning and Acting in the Real World
V Uncertain knowledge and reasoning
13 Uncertainty
14 Probabilistic Reasoning
15 Probabilistic Reasoning over Time
16 Making Simple Decisions
17 Making Complex Decisions;
VI Learning
18 Learning from Observations
19 Knowledge in Learning
20 Statistical Learning Methods
21 Reinforcement Learning
VII Communicating, perceiving, and acting
22 Communication
23 Probabilistic Language Processing
24 Perception
25 Robotics
VIII Conclusions
26 Philosophical Foundations
27 AI: Present and Future
A Mathematical background
B Notes on Languages and Algorithms