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008			210702s2021 sz | s |||| 0|eng d
020			_a9783030718732
024	7		_a10.1007/978-3-030-71873-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ335 _b2021 EB
100	1		_aLuger, George F. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _967784
245	1	0	_aKnowing our World: An Artificial Intelligence Perspective _cby George F. Luger
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (XVIII, 256 páginas) _b73 ilustraciones, 17 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aPART I, In the Beginning.-1 Creating Computer Programs: An Epistemic Commitment -- 2 Historical Foundations -- 3 Modern AI and How We Got Here -- PART II, AI: Structures and Strategies for Complex Problem Solving -- 4 Symbol-Based AI and its Rationalist Presuppositions -- 5 Association and Connectionist Approaches to AI -- 6 Evolutionary Computation and Intelligence -- PART III, On Epistemology: Towards an Active, Pragmatic, Model-Revising Realism -- 7 A Constructivist Rapprochement and an Epistemic Stance -- 8 Bayesian-Based Constructivist Computational Models -- 9 Towards an Active, Pragmatic, Model-Revising Realism.-Bibliography -- Index.
520	3		_aKnowing our World: An Artificial Intelligence Perspective considers the methodologies of science, computation, and artificial intelligence to explore how we humans come to understand and operate in our world. While humankind's history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals. Based on insights afforded by the challenges of AI design and program building, Knowing our World proposes a foundation for the science of epistemology. Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support clarification of these epistemic foundations. .
988			_aSpringer_Computer_2021
650		7	_2embne _aInteligencia artificial _9413115
776	0	8	_iPrinted edition: _z9783030718725
776	0	8	_iPrinted edition: _z9783030718749
776	0	8	_iPrinted edition: _z9783030718756
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-71873-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2021 _dz _ea _zSI