Artificial Intelligence – Stuart Russell, Peter Norvig – 3rd Edition

Description

Intelligence: A Modern , 3e offers the most comprehensive, up-to-date introduction to the theory and practice of intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Intelligence.

Dr. Peter Norvig, contributing author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford on .

According to an article in The New York Times , the course on artificial intelligence is “one of three being offered experimentally by the Stanford science department to extend and skills beyond this elite campus to the entire world.” One of the other two courses, an introduction to database , is being taught by Pearson author Dr. Jennifer Widom.

Table of Content

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

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