The leading textbook in Artificial Intelligence. Used in over 1200 universities in over 100 countries. The 22nd most cited computer science publication on Citeseer (and 4th most cited publication of this century). What's New Free Online AI course, Berkeley's CS 188, offered through edX. Comments and Discussion AI Resources on the Web Online Code Repository For the Instructor Getting the Book 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 [pdf] B Notes on Languages and Algorithms [pdf] Bibliography [pdf and histograms] Index [html or pdf]<\/p>\n
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Artificial Intelligence: A Modern Approach<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" The leading textbook in Artificial Intelligence. Continue reading