This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This “sensor / algorithm / effecter” approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more. A CD-ROM with simulations, code, and figures accompanies the book.
M. Tim Jones is a product architect and engineering author specializing in virtualization, Linux, Linux internals, programming, network protocols, embedded development, and artificial intelligence. Over the past decade, he has written five books, two of which have been released in second editions. His publications focus on networking protocols, Sockets programming, artificial intelligence, and Linux user-space programming. His work includes book descriptions, errata, and various online publications that explore these technical domains.
AI has been advancing so rapidly that when looking at AI books the first thing to take a note of is the date of publication. In this case 2007. Not too bad. Good systematic coverage of the basics. Good outline of the field. Just when it was starting explode.
The Best book I have ever read about any subject, it is simply number one with a star, there is no way you will not understand A.I inside and out by the time you have finished reading this book.
It is a very well written book on everything related to artificial intelligence. It has a clear language and code samples in C. Anyone interested in Artificial Intelligence should read it