Customer comments on this selection.
 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. 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
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 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 works. Although I'm a VB.NET programmer, I could understand them quite easily.
I recommend this book to any programmer who like to get a big picture of artificial intelligence, who doesn't know where to begin or which algorithm is the right choice. This book should be the first-to-read but not the last, because it touches not far from the surface. I'd say this is the best precursor.
 Decent introduction, insane amount of typos
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.
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. But if you know programming already, and want to know AI, this is a good start.
 Not very clear
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).
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