000			03110nam a22004935i 4500
001			978-3-319-40022-8
003			DE-He213
005			20200421111206.0
007			cr nn 008mamaa
008			160705s2016 gw | s |||| 0|eng d
020			_a9783319400228 _9978-3-319-40022-8
024	7		_a10.1007/978-3-319-40022-8 _2doi
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
072		7	_aUYQ _2bicssc
072		7	_aTJFM1 _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aFlasiński, Mariusz. _eauthor.
245	1	0	_aIntroduction to Artificial Intelligence _h[electronic resource] / _cby Mariusz Flasiński.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aX, 321 p. 70 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aHistory of Artificial Intelligence -- Symbolic Artificial Intelligence -- Computational Intelligence -- Search Methods -- Evolutionary Computing -- Logic-Based Reasoning -- Structural Models of Knowledge Representation -- Syntactic Pattern Analysis -- Rule-Based Systems -- Pattern Recognition and Cluster Analysis -- Neural Networks -- Reasoning with Imperfect Knowledge -- Defining Vague Notions in Knowledge-Based Systems -- Cognitive Architectures -- Theories of Intelligence in Philosophy and Psychology -- Application Areas of AI Systems -- Prospects of Artificial Intelligence. .
520			_aIn the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers. The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader.
650		0	_aComputer science.
650		0	_aData mining.
650		0	_aArtificial intelligence.
650		0	_aComputational intelligence.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aComputational Intelligence.
650	2	4	_aData Mining and Knowledge Discovery.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319400204
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-40022-8
912			_aZDB-2-SCS
942			_cEBK
999			_c54145 _d54145