Selected applications include data mining, genetic algorithms, game programming, rule-based machine built in, 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 system, without the supervision of learning algorithms, software migration, and more * Every Teaching AI concepts through practical applications including financial data miners, spider web, a network data collector, game programs, battery chargers embedded control systems, embedded rules-based engine to monitor the log, and fault tolerance subsystem * The group topic by subfields conceptual AI (machine learning, evolutionary methods, symbolic methods) to better understand the "big picture" and more focused specialization * Provide background in the history of AI, a different branch of this broad field, and the philosophical foundations and issues associated with this technology * Includes a CD-ROM (Win / Linux) with a complete, fully commented source code in C for every application in the book * Exercise sets for each chapter are located in Appendix A to be used as Text Books