Artificial Intelligence

Offers a perspective on the study of artificial intelligence concepts. This book gives practical information on data input and reduction, and data output. It presents a "sensor/algorithm/effecter" approach which grounds the algorithms with an environment. It includes applications in areas such as intelligent agents, neural networks,and others.

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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.