000			02034nam a2200229Ia 4500
003			NULRC
005			20250520100608.0
008			250520s9999 xx 000 0 und d
020			_a9780763773373
040			_cNULRC
050			_aQ 336 .J66 2009
100			_aJones, M. Tim. _eauthor
245		0	_aArtificial intelligence : _ba systems approach / _cM. Tim Jones
260			_aBoston, Massachusetts : _bJone and Bartlett Learning, _cc2009
300			_a498 pages : _billustrations ; _c24 cm
365			_bUSD66.84
504			_aIncludes bibliographical references and index.
505			_aChapter 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.
520			_a"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.
650			_aARTIFICIAL INTELLIGENCE -- DATA PROCESSING
942			_2lcc _cBK
999			_c8999 _d8999