The
leading textbook in Artificial Intelligence.
Used in over
1400 universities in over
125 countries.
The
22nd most cited computer science publication on Citeseer (and 4th most cited publication of this century).
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Free Online AI course, Berkeley's CS 188, offered through edX.
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Table of Contents
[Full Contents]
Preface [html]
Part I Artificial Intelligence
1 Introduction ... 1
2 Intelligent Agents ... 34
Part II Problem Solving
3 Solving Problems by Searching ... 64
4 Beyond Classical Search ... 120
5 Adversarial Search ... 161
6 Constraint Satisfaction Problems ... 202
Part III Knowledge and Reasoning
7 Logical Agents ... 234
8 First-Order Logic ... 285
9 Inference in First-Order Logic ... 322
10 Classical Planning ...366
11 Planning and Acting in the Real World ... 401
12 Knowledge Representation ... 437
Part IV Uncertain Knowledge and Reasoning
13 Quantifying Uncertainty ... 480
14 Probabilistic Reasoning ... 510
15 Probabilistic Reasoning over Time ... 566
16 Making Simple Decisions ... 610
17 Making Complex Decisions ...645
Part V Learning
18 Learning from Examples ...693
19 Knowledge in Learning ... 768
20 Learning Probabilistic Models ... 802
21 Reinforcement Learning ... 830
Part VI Communicating, Perceiving, and Acting
22 Natural Language Processing ... 860
23 Natural Language for Communication ... 888
24 Perception ... 928
25 Robotics ... 971
Part VII Conclusions
26 Philosophical Foundations ... 1020
27 AI: The Present and Future ... 1044
A Mathematical Background [pdf] ... 1053
B Notes on Languages and Algorithms [pdf] ... 1060
Bibliography [pdf and histograms] ... 1063
Index [html or pdf] ... 1109
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