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AI Application Programming (Charles River Media Programming) Paperback – March 27, 2003

4.4 out of 5 stars 22 customer reviews

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Editorial Reviews

About the Author

M. Tim Jones has been developing software since 1986. He has designed prototype AI systems using genetic algorithms for satellite attitude determination and mobile agents for distributed asset tracking. He has also published articles on embedded systems, network protocols, and AI for Dr. Dobb's Journal, Embedded Systems Programming, and Embedded Linux Journal. He currently works as a Senior Principal Software Engineer.
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Product Details

  • Series: Charles River Media Programming
  • Paperback: 363 pages
  • Publisher: Charles River Media; Bk&CD-Rom edition (March 27, 2003)
  • Language: English
  • ISBN-10: 1584502789
  • ISBN-13: 978-1584502784
  • Product Dimensions: 9.3 x 7.4 x 1.1 inches
  • Shipping Weight: 2.1 pounds
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (22 customer reviews)
  • Amazon Best Sellers Rank: #2,101,683 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

By T. Fitzpatrick on 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-
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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.
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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.
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AI Application Programming by M Tim Jones (second edition) focuses on classical AI problems, game playing, and AI for the web. I am interested in so called Artificial Intelligence algorithms due to my past work in robotics but also due to my current engineering work. Unfortunately the book does not say very much about AI in industry and robotics. I still enjoyed reading this book and learning more about the variety of AI approaches discussed. I thought that the book was well organized and it covers a lot of ground in only 473 pages. Each AI algorithm and AI approach is demonstrated with an example that the reader can test, build and manipulate for himself. I liked the examples and I appreciated the included CD and C code. The code on the CD is complete and useful. At work I have been trying to implement one of the algorithms he presents and I might get some more use out of the book.

The author explains and describes a number of algorithms and approaches to AI including classical path finding algorithms such as depth first search, breadth first search the A-star algorithm, as well as simulated annealing, the PSO algorithms (Particle Swarm Optimization), Adaptive Resonance Theory, what he calls classifier systems, and Ant Algorithms. He introduces Neural Networks focusing on feed-forward multilayer networks using back propagation learning. He also presents reinforcement learning and simple genetic algorithms. He discusses Artificial Life and Rules-based Systems and introduces fuzzy logic. There is a chapter on Natural Language Processing and another on Markov chains with the focus on the bigram model. Towards the end of the book there is a chapter on agent based systems applied to a web application.
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By A Customer on 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.
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