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Artificial Intelligence: A Modern Approach. The leading textbook in Artificial Intelligence.
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For the Instructor. Getting the Book. Table of Contents. Full Contents]. Part I Artificial Intelligence. Introduction. 2 Intelligent Agents. Part II Problem Solving. Solving Problems by Searching.
Beyond Classical Search. Adversarial Search. Constraint Satisfaction Problems. Part III Knowledge and Reasoning.
Logical Agents. 8 First- Order Logic. Inference in First- Order Logic.
Classical Planning. Planning and Acting in the Real World. Knowledge Representation. Part IV Uncertain Knowledge and Reasoning. Quantifying Uncertainty.
Probabilistic Reasoning. Probabilistic Reasoning over Time. Making Simple Decisions. Making Complex Decisions. Part V Learning. 18 Learning from Examples. Knowledge in Learning. Learning Probabilistic Models.
Reinforcement Learning. Part VII Communicating, Perceiving, and Acting.
Natural Language Processing. Natural Language for Communication.
Part VIII Conclusions. Philosophical Foundations.
AI: The Present and Future. A Mathematical Background [pdf]. B Notes on Languages and Algorithms [pdf]. Bibliography [pdf and histograms].
Index [html or pdf].