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AI Application Programming (Programming Series) (Charles River Media Programming) Paperback – June 3, 2005

by M. Tim Jones (Author)

22 customer reviews

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In the second edition of this bestseller, the author continues to demystify the techniques associated with the field of artificial intelligence. It covers a wide variety of techniques currently defined as "AI" and shows how they can be useful in practical, everyday applications. AI Application Programming covers both the theory and the practical applications to teach developers how to apply AI techniques in their own designs. Each chapter covers both the theory of the algorithm or the technique under discussion followed by a practical application of the technique with a detailed discussion of the source code.

AI Application Programming (Programming Series) (Charles River Media Programming)

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Editorial Reviews

About the Author

M. Tim Jones has been developing software since 1986. He has published articles on embedded systems, network protocols, and artificial intelligence for Dr. Dobb's Journal, Embedded Systems Programming, and Embedded Linux Journal. In addition, he is the author of GNU/Linux Application Programming and TCP/IP Application Layer Protocols for Embedded Systems. He resides in Longmont, CO, where he works as a Senior Principal Software Engineer.

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Product Details

Series: Charles River Media Programming
Paperback: 473 pages
Publisher: Charles River Media; 2 edition (June 3, 2005)
Language: English
ISBN-10: 1584504218
ISBN-13: 978-1584504214
Product Dimensions: 9.2 x 7.4 x 1.2 inches
Shipping Weight: 2.2 pounds
Average Customer Review: 4.4 out of 5 stars See all reviews (22 customer reviews)
Amazon Best Sellers Rank: #704,498 in Books (See Top 100 in Books)
- #353 in Books > Computers & Technology > Programming > Languages & Tools > C & C++ > C
- #487 in Books > Computers & Technology > Games & Strategy Guides > Game Programming
- #488 in Books > Computers & Technology > Programming > Languages & Tools > C & C++ > C++

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4.4 out of 5 stars

5 star		68%
4 star		14%
3 star		9%
2 star		9%
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Top Customer Reviews

Great, in depth, recursively precise!

ByT. Fitzpatrickon January 5, 2004

Format: Paperback

I enjoyed working through this text, but not without some re-visiting of my calculus classes and trigonometry brush-ups.
All in all a very good book, and also a great Graduate level reference for the inner workings of actual Artificial Intelligence algorithms.
If you are well prepared, this book is to the point, and well worth the read. Prepare for a visit to College-level Physics theorems, as many algorithms given require a working knowledge of the advanced principles of the science.
Hope this helps-

0Comment 22 people found this helpful. Was this review helpful to you?YesNo

Great second edition of an applied book on AI

BycalvinnmeHALL OF FAMEon January 20, 2006

Format: Paperback

Scientists started the field of AI research in the 1950's with the now largely failed quest to produce machines that think. However, they did open the door to making improved individual products that can "learn" how to do their limited jobs better, and they also opened the door to the use of AI in games and in recommender systems such as you see here on Amazon.
This book is the second edition of the successful book by Tim Jones on different facets of AI, how they can be used, and how to write programs that implement the necessary algorithms. The book begins with a short but insightful chapter on the history of AI, followed by a series of chapters, each covering a specific AI technique. The last chapter covers the state of AI today. Each chapter begins with a short description of the technique covered, sometimes including parallels to the real world that are behind the algorithmic choices of the technique. Next, the algorithm is described, and a sample implementation is given and discussed. Last, the author presents examples of problems that can be solved by the given technique. This book basically replaces the first edition, as everything in that book is in this one plus the A* pathfinding algorithm, particle swarm optimization, classifier systems, reinforcement learning, and natural language processing. For several of the techniques variations and tuning opportunities are presented, allowing the reader/programmer to easily adapt the technique to a different problem of a similar type. There are also plenty of illustrations and diagrams, making the material easier to absorb. I highly recommend that you purchase this second edition, even if you already have the first edition. It is a worthwhile upgrade. The author assumes that the reader has already been exposed to the basic ideas of artificial intelligence and is proficient at programming in C. I notice that Amazon does not show the table of contents for the 2nd edition, so I do that here.
1. History of AI
2. Pathfind and the A-Star Algorithm **
3. Simulated Annealing
4. Particle Swarm Optimization **
5. Introduction to Adaptive Resonance Theory (ART1)
6. Classifier Systems **
7. Ant Algorithms
8. Introduction to Neural Networks and the BackPropagation Algorithm
9. Introduction to Reinforcement Learning **
10. Introduction to Genetic Algorithms
11. Artificial Life
12. Introduction to Rules-Based Systems
13. Introduction to Fuzzy Logic
14. Natural Language Processing **
15. The Bigram Model
16. Agent-Based Software
17. AI Today
** Denotes a totally new chapter

0Comment 23 people found this helpful. Was this review helpful to you?YesNo

The book has its values, but also got serious problems

ByOliveron September 14, 2006

Format: PaperbackVerified Purchase

Most of other reviewer think highly of this book. I also agree, to a certain extent, that the book's is valuable and fill in the gap between "talks" and "walks".

However, there are two things I have to point out: One, the editing/basic correctness check of this book is kinda terrible. For example, P72 on Particle Swarm Optimization, the 4.2 formula is obviously WRONG and not consistent with the rest of discussion. Also on P74, the position vector calculation is wrong as well: it also seems the author/editor cut & copy two blocks of text.

Second, I don't like is the lack of explaination on certain important notations and equations, which is very important to be at least "self-contained" for such a "cover everything" book. For example, P210 on reinforcement learning, Equation 9.2 has a general explaination of what it is, but non of those notation/symbols in the equation make sense in the context.

So, in general, be aware its pro and cons.

11 comment 19 people found this helpful. Was this review helpful to you?YesNo

Erratum question

ByA customeron November 21, 2003

Format: Paperback

Re the comments below, I contact the publisher on the Internet and ask if they had a erratum sheet. In less than a day, a copy was sent to me, and they also have those sheets onsite for most of their publications. Additionally, a second edition was released in October which corrected the identifiable errors. A class act in my opinion.

0Comment 6 people found this helpful. Was this review helpful to you?YesNo

Most Recent Customer Reviews

AI Application Programming Classic Text Book

A Classic Text Book on the subject of AI.

Published 2 months ago by Amazon Customer

AI Application Programming is a good book but not all I wanted

AI Application Programming by M Tim Jones (second edition) focuses on classical AI problems, game playing, and AI for the web.Read more

Published 1 year ago by Thomas Wikman

Excellent book

One of the best book on Artificial Intelligence by far. It teaches you modern algorithms. I really like it. Great value.

Published on April 30, 2013 by reviewer

Great book for engineers

I enjoyed this book. It is written at a level that can sink my teeth into without too much concentration on statistical mathematical equations all over the page.Read more

Published on March 1, 2010 by Patrick E. Martin

AI Application Programming

This book gave me a head start on AI with hands-on examples on different techniques I could use in many different problems.Read more

Published on November 30, 2008 by Alireza Goudarzi

This Book Exceeds My Expectations

It's just amazing how such a 473-page book could cover wide range of AI subjects, and at the same time could deliver easy-to-understand explanations without throwing PhD maths at...Read more

Published on October 8, 2007 by Neo Lee

Decent introduction, insane amount of typos

I feel bad saying this, but -- the book's goals and structure are great, and the author definitely put in a good effort to make this book.Read more

Published on September 2, 2007 by J. King

Best introductory book on AI

It is the best introductory book on AI. As you can read from other reviewer's with low rating, it's not in depth.Read more

Published on August 23, 2007 by Anonymous

Not very clear

This book covers a good range of topics but fails to deliver the topics in a clear and concise manner.Read more

Published on April 21, 2007 by Sean Todd

Excellent Introduction (w/out alot of number theory)

One of the challenges in learning AI are the foundational requirements in mathematics. This book provides an excellent introduction to AI, where the "hacker" or hobbyist can...Read more

Published on March 6, 2007 by Robert

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AI Application Programming (Programming Series) (Charles River Media Programming) Paperback – June 3, 2005

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