Includes bibliographical references and index.

Chapter 1. The History of AI -- Chapter 1. Uninformed Search -- Chapter 3. Informed Search -- Chapter 4. AI and Games -- Chapter 5. Knowledge Representation -- Chapter 6. Machine Learning -- Chapter 7. Evolutionary Computation -- Chapter 8. Neural Network I -- Chapter 9. Neural Network II -- Chapter 10. Robotics and AI -- Chapter 11. Intelligent Agents -- Chapter 12. Biologically Inspired and Hybrid Models -- Chapter 13. The Languages of AI -- About the CD-ROM -- Index.

"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."--Publisher's website.