The
leading textbook in Artificial Intelligence.
Used in over
1100 universities in over
100 countries (over 90% market share).
The
85th most cited publication on Citeseer.
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Table of Contents
[Full Contents]
Preface [html]
Part I Artificial Intelligence
1 Introduction
2 Intelligent Agents
Part II Problem Solving
3 Solving Problems by Searching
4 Beyond Classical Search
5 Adversarial Search
6 Constraint Satisfaction Problems
Part III Knowledge and Reasoning
7 Logical Agents
8 First-Order Logic
9 Inference in First-Order Logic
10 Classical Planning
11 Planning and Acting in the Real World
12 Knowledge Representation
Part IV Uncertain Knowledge and Reasoning
13 Quantifying Uncertainty
14 Probabilistic Reasoning
15 Probabilistic Reasoning over Time
16 Making Simple Decisions
17 Making Complex Decisions
Part V Learning
18 Learning from Examples
19 Knowledge in Learning
20 Learning Probabilistic Models
21 Reinforcement Learning
Part VII Communicating, Perceiving, and Acting
22 Natural Language Processing
23 Natural Language for Communication
24 Perception
25 Robotics
Part VIII Conclusions
26 Philosophical Foundations
27 AI: The Present and Future
A Mathematical Background
B Notes on Languages and Algorithms
Bibliography [pdf and histograms]
Index [html or pdf]
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