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AI Application Programming (Charles River Media Programming)

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

by M.Tim Jones (Author)

3.5 out of 5 stars See all reviews (2 customer reviews)

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Product details

Paperback: 363 pages
Publisher: Charles River Media; Bk&CD-Rom edition (21 May 2003)
Language English
ISBN-10: 1584502789
ISBN-13: 978-1584502784
Product Dimensions: 23.5 x 18.8 x 2.8 cm

Average Customer Review: 3.5 out of 5 stars See all reviews (2 customer reviews)

Amazon.co.uk Sales Rank: 998,140 in Books (See Bestsellers in Books)

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Product Description

Synopsis

Sortware engineer Jones demystifies techniques associated with artificial intelligence and shows how they can be useful in everyday applications. The book covers techniques including statistical algorithms, symbolic methods, evolutionary systems, and optimization methods. Each chapter covers the theory of the algorithm or technique under discussion

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Customer Reviews

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3.5 out of 5 stars (2 customer reviews)

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Most Helpful Customer Reviews

5 of 7 people found the following review helpful:

4.0 out of 5 stars This is a good book with many examples of C language code., 22 Jun 2003

By	"mr_chayuth" - See all my reviews

This book will give all the basic idea about how to program in many ways of AI such as neural network, genetic algorithm and fuzzy logic. Everything is explained and followed by the example code.These examples will make a better view and understand of what you should do when you want to program in AI field.I thought this book will help all guys who want to deal with such kind of computer programming. Exellent!

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2 of 3 people found the following review helpful:

3.0 out of 5 stars The first half was excellent, 29 Nov 2004

By A Customer

A very good and practical first introduction to a fascinating subject. He covers a lot of interesting algorithms in a non-technical way, yet manages to convey the essence of how they work. The book left me wanting to find more about some of the methods that interested me most, but did not really include enough references. If you want a rigorous introduction, this is not the book for you. The applications get steadily more complex, and in my view the best ones are in the first half of the book. The sections on neural nets, genetic algorithms and artificial life were exceptionally interesting. After that I felt chapters went downhill in terms of the elegance of the algorithms and interest of the applications. There's lots of C code in there, and this was just about well annotated enough for me (a non-C programmer) to follow.

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