000			03367nmm a2200373Ia 4500
001			00001831
003			WSP
005			20220711214101.0
007			cr |uu|||uu|||
008			181207s1993 si a ob 001 0 eng d
010			_z 92021205
040			_aWSPC _beng _cWSPC
020			_a9789814354677 _q(ebook)
020			_z9789810211691 _q(hbk.)
020			_z9789810211707 _q(pbk.)
050	0	4	_aQ335 _b.B558 1993
072		7	_aCOM _x014000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aBock, Peter, _d1941- _93406
245	1	4	_aThe emergence of artificial cognition _h[electronic resource] : _ban introduction to collective learning / _cPeter Bock.
260			_aSingapore : _bWorld Scientific Publishing Co. Pte Ltd., _c©1993.
300			_a1 online resource (344 p.) : _bill.
538			_aSystem requirements: Adobe Acrobat Reader.
538			_aMode of access: World Wide Web.
588			_aTitle from web page (viewed December 7, 2018).
504			_aIncludes bibliographical references (p. 295-297) and index.
520			_a"In this extraordinary new book, a pioneer in the research on Collective Learning Systems (an adaptive learning paradigm for artificial intelligence) describes the processes and mechanisms of human and artificial cognition, defines a fundamental building block for assembling large-scale adaptive systems (the learning cell) and proposes a design for the ultimate machine: a hierarchical network of 100 million learning cells that could exhibit the full range of cognitive capabilities of the human cerebral cortex. The author demonstrates that using the classical "expert system" approach to create such a vast knowledge base would require thousands of years to program all the necessary rules. He then explains how an adaptive Collective Learning System could achieve this goal in a matter of 20 years, much as humans do. Based on natural anatomical and behavioral precedents, Collective Learning enables a machine to learn the appropriate rules through trial-and-error interaction with the real world. In the course of explaining the principles of Collective Learning and his design for the ultimate machine, the author introduces a new theory of games for modelling the processes of the universe and discusses the philosophical issues raised by the prospect of creating machines that exhibit human-like intelligence. In addition to a number of small-scale software illustrations of Collective Learning, the final chapter presents the remarkable results of a large-scale research project directed by the author: a hardware and software simulation of the sub-symbolic image-processing functions of the primary visual cortex of the brain. To make the content palatable to a wide variety of readers, the book is written in a conversational style and laced with humor. Lengthy mathematical derivations and proofs have been omitted or abbreviated. Bibliographical references to scholarly journal papers and books are included to guide theoreticians to the attendant formalisms."-- _cPublisher's website.
650		0	_aArtificial intelligence. _93407
650		0	_aCognitive learning theory. _93408
650		0	_aSystem theory. _93409
650		0	_aElectronic books. _920547
856	4	0	_uhttps://www.worldscientific.com/worldscibooks/10.1142/1831#t=toc _zAccess to full text is restricted to subscribers.
942			_cEBK
999			_c72430 _d72430