000			01844cam a2200265 a 4500
008			120219s2011 enka b 001 0 eng
010			_a2011923216
020			_a9780857292988
020			_a0857292986
035			_a(Sirsi) u7990
040			_aEG-CaNU _c EG-CaNU _d EG-CaNU
042			_ancode
082	0	4	_a006.3 _2 22
100	1		_aErtel, Wolfgang. _914433
245	1	0	_aIntroduction to artificial intelligence / _c Wolfgang Ertel..
260			_aLondon ; _a New York : _b Springer, _c c2011.
300			_axi, 316 p. : _b ill. (some col.) ; _c 24 cm.
490	0		_aUndergraduate topics in computer science
504			_aIncludes bibliographical references (p. 305-310) and index.
505	0		_a1. Introduction -- 2 Propositional Logic -- 3 First-order Predicate Logic -- 4 Limitations of Logic -- 5 Logic Programming with PROLOG -- 6 Search, Games and Problem Solving -- 7 Reasoning with Uncertainty -- 8 Machine Learning and Data Mining -- 9 Neural Networks -- 10 Reinforcement Learning -- 11 Solutions for the Exercises.
520			_aThe ultimate aim of artificial intelligence (A.I.) is to understand intelligence and to build intelligent software and robots that come close to the performance of humans. On their way towards this goal, A.I. researchers have developed a number of quite different subdisciplines. This concise and accessible Introduction to Artificial Intelligence supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The textbook presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning.
650		0	_aArtificial intelligence. _91994
596			_a1
999			_c6889 _d6889