Artificial Intelligence: A Modern Approach (3rd Edition) |  | Authors: Stuart Russell, Peter Norvig
Publisher: Prentice Hall
Category: Book
List Price: $132.00
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Seller: umalucky
Rating:  12 reviews
Sales Rank: 1,750
Media: Hardcover
Edition: 3
Pages: 1152
Number Of Items: 1
Shipping Weight (lbs): 4.8
Dimensions (in): 10 x 8.2 x 1.8
ISBN: 0136042597
Dewey Decimal Number: 006
EAN: 9780136042594
ASIN: 0136042597
Publication Date: December 11, 2009
Availability: Usually ships in 1-2 business days
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Product Description
The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.
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| Customer Reviews:
Showing reviews 1-5 of 12
 A must for anyone learning to program April 6, 2010
Rick James
5 out of 6 found this review helpful
This is by far one of the best books i have ever read. For many years i have struggled with abtuse books on algorithms, programming languages and mathematics. This book is unlike anything i have read before. For the last 20 years, I as a lay person, who has not taken any university classes in AI and programming have had problems moving passed certain levels of complexity in my understanding. Simple things like decision tress and recursion had eluded me in the many books i read, seeming intangible in the areas where they would interface to the real world. Reading the explanations in this book i have finally got it. These authors through scenarios, explanations and code (replicated in many languages on the companion website) explain decision based structures and there use in agent design ,assuming very little along the way, outside of an elementary understanding of programming and logic, thus not losing me the reader. They gave me the building blocks and showed me how and why i would want to assemble them.
The code in this book is both beautiful, elegant and succinct all at the same time. The hours of exploration and learning i got from these samples alone were worth the price of the book.
If you are learning to program -- Read this book.
If you interested in decision and value based reasoning -- Read this book.
This is not a short book, but it is well worth the time investment. I plan on having it done within the year. I have learned so much about what i realize i knew so little of before, but I am so much more capable now than i ever was before, and that is because of this book.
the bible June 28, 2010
King Yin Yan (Lantau, Hong Kong)
1 out of 2 found this review helpful
Let me just say:
for-all X. interested-in(ai, X) -> should own(this book,X)
I'll review the diff with the 2nd edition when I have time.
Here is the new table of contents:
===============================================
I Artificial Intelligence
1 Introduction 1
2 Intelligent Agents 34
II Problem-solving
3 Solving Problems by Searching 64
4 Beyond Classical Search 120
5 Adversarial Search 161
6 Constraint Satisfaction Problems 202
III Knowledge, reasoning, and planning
7 Logical Agents 234
8 First-Order Logic 285
9 Inference in First-Order Logic 322
10 Classical Planning 366
11 Planning and Acting in the Real World 401
12 Knowledge Representation 437
IV Uncertain knowledge and reasoning
13 Quantifying Uncertainty 480
14 Probabilistic Reasoning 510
15 Probabilistic Reasoning over Time 566
16 Making Simple Decisions 610
17 Making Complex Decisions 645
V Learning
18 Learning from Examples 693
19 Knowledge in Learning 768
20 Learning Probabilistic Models 802
21 Reinforcement Learning 830
VI Communicating, perceiving, and acting
22 Natural Language Processing 860
23 Natural Language for Communication 888
24 Perception 928
25 Robotics 971
VII Conclusions
26 Philosophical Foundations 1020
27 AI: The Present and Future 1044
A Mathematical background 1053
B Notes on Languages and Algorithms 1060
Bibliography 1063
Index 1095
Page turner December 14, 2009
D. Webb
6 out of 24 found this review helpful
I've only had the book for about a week and given that it's finals week I have not been able to devote as much time to reading it as I would like. With that said I find myself constantly reaching for it because it is both well written, though a little verbose at times, and compelling. It seems the authors have considered every little detail, even the cover is intricate and completely relevant to the topic. Assuming the rest of the book is as good as the first part I expect this book to be a reference for a long time to come.
Great overview of the field December 14, 2009
Tech Enthusiast (Los Altos, CA)
5 out of 22 found this review helpful
Just got the book, so I haven't read it fully, but a first pass review already convinced that this will be a key reference in the blossoming field of machine learning. It is amazing to see the progress in the field over the past decades, as evidenced by the changes of the versions of the book, and humbling to think of how much we still have to understand and learn in this field.
 Not big changes but still good January 22, 2010
G. Sarria
17 out of 18 found this review helpful
Artificial Intelligence: A Modern approach is a very good book which explores concepts in the area of AI. It covers most of the techniques in the area (there are some important AI techniques missing such as KDD and Data Mining), however it doesn't go deep in any concept so if you're looking for a specialized reference this is not the one.
The third edition of this book offers a few changes:
- a very updated list of references
- some (not many) new exercises
- they rewrote concepts in order to be up-to-date with the state of the art
- they changed the order of some chapters
All in all, it is still a very good introductory book, it is well-written and very easy to understand. If you are new in the field this is the first textbook to read.
Showing reviews 1-5 of 12
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