Message from Dean - May 8th 2007
I am currently testing out a new version of the APF Bridge Component - If you notice any errors within this demo store please drop me a line.
List Price: $59.95Amazon.com's Price: $37.77 You Save: $22.18 (37%)Prices subject to change.
Availability: Usually ships in 24 hours
This item ships for FREE with Super Saver Shipping.
Binding: Paperback
Dewey Decimal Number: 006.30285
EAN: 9781584504214
Edition: 2
ISBN: 1584504218
Label: Charles River Media
Manufacturer: Charles River Media
Number Of Items: 1
Number Of Pages: 473
Publication Date: June 03, 2005
Publisher: Charles River Media
Release Date: June 03, 2005
Studio: Charles River Media
Alternate Versions: Click to Display
Related Items:
Browse for similar items by category:
Editorial Review:
Product Description:
The popularity of artificial intelligence continues to grow as more and more uses are found for the technology. AI Application Programming Second Edition is completely updated to supply both the conceptual background and the real-world examples needed to begin using AI in software projects. Each technology is illustrated with a model implementation and application, and complete source code for each example is provided on the companion CD-ROM. Selected applications cover data mining, genetic algorithms, game programming, embedded rules-based engines, and the World Wide Web.
KEY FEATURES:
* Covers cutting-edge AI concepts such as neural networks, natural language processing, intelligent agents, genetic algorithms, rule-based systems, unsupervised learning algorithms, migratory software, and more
* Teaches each AI concept through a practical application, including a financial data miner, a Web spider, a networked data collector, a game program, an embedded battery charger control system, an embedded rules-based engine for log monitoring, and a fault tolerance subsystem
* Groups AI topics by conceptual subfields (machine learning, evolutionary methods, symbolic methods) for better "big picture" understanding and more focused specialization
* Provides a background in the history of AI, the distinct branches of this broad field, and the philosophical underpinnings and issues associated with these technologies
* Includes a CD-ROM (Win/Linux) with complete, fully commented source code in C for every application in the book
* Exercise sets for each chapter are located in Appendix A for use as a Textbook
Average Rating: 
Rating:  -
This book gave me a head start on AI with hands-on examples on different techniques I could use in many different problems. this might be one of the best books if you want to start with AI yet don't want to get involved with the horrifying math behind it. it just directly jumps to the fun stuff :D
Rating: -
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 you. It is just superb how a tech book with minimal math could explain everything!
Every chapter covers one kind of AI, one or two real-world applications and a list of other applications. There're more than enough illustrations for people like me who hate text-only book. A picture is worth a thousand words buddy. Here's my list of AI fields I remembered from the book: Genetic Algorithm, Neural Network, Ant, Particle Swarm, Simulated Annealing, ALife, Pathfinding, A-Star, ATR1, Classifier systems, Rule-based Aystems, Agent-based Software, NLP, Bigram, and Fuzzy Logic.
Examples are written in C language. Comments are plentiful. The codes, though short, pack a lot punches; a whole stack-only virtual machine (VM), for example, was written in less than 100 lines to illustrate how Genetic Algorithm ... Read More
Rating:  -
The code is fairly easy to read, and (to date) I have not found any errors in example code... but in terms of the author's ability to write properly, that's a whole different story. Formulas are missing halfs, inconsistencies in variable usage, it's seriously bad. Maybe I got a bad edition (didn't buy from Amazon), but it looks exactly like the one listed (softcover, 2nd ed)..
If you're fairly proficient at C/C++ code, however, you should be able to follow the book ok... just expect to be reading more of the source code than the actual writing, half the time.
It was a required textbook for a class.
Rating: -
It is the best introductory book on AI. As you can read from other reviewer's with low rating, it's not in depth. But if you know programming already, and want to know AI, this is a good start.
Rating:  -
This book covers a good range of topics but fails to deliver the topics in a clear and concise manner. Not to mention there are many typos (including incorrect and incomplete equations). He also tries to give large examples where a small example would be more suitable. He also does not finish some of the examples (such as the A* method example).
Availability: Usually ships in 24 hours
|
Amazon Store 