In the second edition of this bestseller, the author continues to demystify the techniques associated with the field of artificial intelligence. It covers a wide variety of techniques currently defined as "AI" and shows how they can be useful in practical, everyday applications. AI Application Programming covers both the theory and the practical applications to teach developers how to apply AI techniques in their own designs. Each chapter covers both the theory of the algorithm or the technique under discussion followed by a practical application of the technique with a detailed discussion of the source code.
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M. Tim Jones (Longmont, CO) 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. In addition, he is the author of BDS Sockets Programming from a Multi-Language Perspective and TCP/IP Application Layer Protocols for Embedded Systems. He resides in Longmont, CO, where he works as a Senior Principal Software Engineer.
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.
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