000			02655nam a22003975i 4500
988			_aSpringer_Robotics_2020
999			_c117004 _d117004 _x1
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003			ES-MaUEC
005			20240111050200.0
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007			cr nn nnnaamaa
008			190716s2020 gw | s |||| 0|eng d
020			_a9783030257194
024	7		_a10.1007/978-3-030-25719-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .N37 _b2020 EB
245	0	0	_aBiologically Inspired Cognitive Architectures 2019 : _bProceedings of the Tenth Annual Meeting of the BICA Society _cedited by Alexei V. Samsonovich
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XIX, 617 páginas) _b193 ilustraciones, 118 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	1		_aAdvances in Intelligent Systems and Computing _x2194-5357 _v948
490	0		_aTechnologies and Robotics (Springer-42732)
520	3		_aThe book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.
650		7	_2embne _aInteligencia artificial _xCongresos y asambleas _9413115
650		7	_2embne _aBiotecnología _xCongresos y asambleas _9140931
700	1		_aSamsonovich, Alexei V _eeditor _4http://id.loc.gov/vocabulary/relators/edt _999258
776	0	8	_iPrinted edition: _z9783030257187
776	0	8	_iPrinted edition: _z9783030257200
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-25719-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_dz _feng _ggw _h0 _b01/2020 _eel _zSI