000			03453nam a2200589 i 4500
001			6276854
003			IEEE
005			20220712204750.0
006			m o d
007			cr |n|||||||||
008			151229s1987 mau ob 001 eng d
010			_z 85024073 (print)
020			_a9780262291262 _qelectronic
020			_z9780262631105 _qprint
020			_z0262181207 _qv. 1
020			_z0262132184 _qv. 2
035			_a(CaBNVSL)mat06276854
035			_a(IDAMS)0b000064818c1f91
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aBF455 _b.R853 1986eb
082	0	0	_a153 _219
100	1		_aRumelhart, David E., _eauthor. _923656
245	1	0	_aParallel distributed processing : _bexplorations in the microstructure of cognition / _cDavid E. Rumelhart, James L. McClelland, and the PDP Research Group.
264		1	_aCambridge, Massachusetts : _bMIT Press, _c1986.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1987]
300			_a1 PDF (2 v.).
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aComputational models of cognition and perception
500			_aVol. 2 by James L. McClelland, David E. Rumelhart, and the PDP Research Group.
500			_a"A Bradford book."
500			_aIncludes index.
504			_aIncludes bibliographical references (p. )[507]-516.
505	0		_av. 1. Foundations -- v. 2. Psychological and biological models.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aWhat makes people smarter than computers? These volumes by a pioneering neurocomputing group suggest that the answer lies in the massively parallel architecture of the human mind. They describe a new theory of cognition called connectionism that is challenging the idea of symbolic computation that has traditionally been at the center of debate in theoretical discussions about the mind. The authors' theory assumes the mind is composed of a great number of elementary units connected in a neural network. Mental processes are interactions between these units which excite and inhibit each other in parallel rather than sequential operations. In this context, knowledge can no longer be thought of as stored in localized structures; instead, it consists of the connections between pairs of units that are distributed throughout the network. Volume 1 lays the foundations of this exciting theory of parallel distributed processing, while Volume 2 applies it to a number of specific issues in cognitive science and neuroscience, with chapters describing models of aspects of perception, memory, language, and thought.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/29/2015.
650		0	_aHuman information processing. _922146
650		0	_aCognition. _923500
655		0	_aElectronic books. _93294
700	1		_aMcClelland, James L. _923501
710	2		_aIEEE Xplore (Online Service), _edistributor. _923657
710	2		_aMIT Press, _epublisher. _923658
710	2		_aUniversity of California, San Diego. _bPDP Research Group. _923504
776	0	8	_iPrint version: _z9780262631105
830		0	_aComputational models of cognition and perception _923659
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6276854
942			_cEBK
999			_c73250 _d73250