Artificial Intelligence: A Modern Approach |
Artificial Intelligence: A Modern Approach
(Second Edition) by Stuart Russell and Peter NorvigThe leading textbook in Artificial Intelligence.Used in over 1100 universities in 102 countries (over 90% market share). The 85th most cited publication on Citeseer. |
What's New
Comments and Discussion
AI Resources on the Web
Online Code Repository
For the Instructor
Getting the Book
|
Table of Contents (Full Version)Preface (html); chapter mapPart I Artificial Intelligence 1 Introduction 2 Intelligent Agents Part II Problem Solving 3 Solving Problems by Searching 4 Informed Search and Exploration 5 Constraint Satisfaction Problems (pdf) 6 Adversarial Search Part III Knowledge and Reasoning 7 Logical Agents (pdf) 8 First-Order Logic 9 Inference in First-Order Logic 10 Knowledge Representation Part IV Planning 11 Planning (pdf) 12 Planning and Acting in the Real World Part V Uncertain Knowledge and Reasoning 13 Uncertainty 14 Probabilistic Reasoning 15 Probabilistic Reasoning Over Time 16 Making Simple Decisions 17 Making Complex Decisions Part VI Learning 18 Learning from Observations 19 Knowledge in Learning 20 Statistical Learning Methods (pdf) 21 Reinforcement Learning Part VII Communicating, Perceiving, and Acting 22 Communication 23 Probabilistic Language Processing 24 Perception 25 Robotics Part VIII Conclusions 26 Philosophical Foundations 27 AI: Present and Future Bibliography (pdf and counts) Index (html or pdf) Sample chapters are provided for your information. Copyright © 2002 Prentice Hall. All rights reserved. No part of this material may be duplicated or reproduced, in any form or by any means, without permission in writing from the Publisher. |
AI: A Modern Approach by Stuart Russell and Peter Norvig | Modified: Aug 17, 2011 |