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This title in other editions

Other titles in the Bradford Books series:

The Harmonic Mind, Volume 1: Cognitive Architecture: From Neural Computation to Optimality-Theoretic Grammar (Bradford Books)

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The Harmonic Mind, Volume 1: Cognitive Architecture: From Neural Computation to Optimality-Theoretic Grammar (Bradford Books) Cover

 

Synopses & Reviews

Publisher Comments:

Despite their apparently divergent accounts of higher cognition, cognitive theories based on neural computation and those employing symbolic computation can in fact strengthen one another. To substantiate this controversial claim, this landmark work develops in depth a cognitive architecture based in neural computation but supporting formally explicit higher-level symbolic descriptions, including new grammar formalisms.Detailed studies in both phonology and syntax provide arguments that these grammatical theories and their neural network realizations enable deeper explanations of early acquisition, processing difficulty, cross-linguistic typology, and the possibility of genomically encoding universal principles of grammar. Foundational questions concerning the explanatory status of symbols for central problems such as the unbounded productivity of higher cognition are also given proper treatment.The work is made accessible to scholars in different fields of cognitive science through tutorial chapters and numerous expository boxes providing background material from several disciplines. Examples common to different chapters facilitate the transition from more basic to more sophisticated treatments. Details of method, formalism, and foundation are presented in later chapters, offering a wealth of new results to specialists in psycholinguistics, language acquisition, theoretical linguistics, computational linguistics, computational neuroscience, connectionist modeling, and philosophy of mind.

Synopsis:

An integrated connectionist/symbolic architecture of the mind/brain, applied to neural/genomic realization of grammar; acquisition, processing, and typology in phonology and syntax; and foundations of cognitive explanation.

Synopsis:

Despite their apparently divergent accounts of higher cognition, cognitive theories based on neural computation and those employing symbolic computation can in fact strengthen one another. To substantiate this controversial claim, this landmark work develops in depth a cognitive architecture based in neural computation but supporting formally explicit higher-level symbolic descriptions, including new grammar formalisms.

About the Author

Paul Smolensky is Professor of Cognitive Science at Johns Hopkins University. He was a leading member of the PDP connectionist research group, and is the recipient of the 2005 David E. Rumelhart Prize in Cognitive Science, which is awarded annually to an individual or collaborative team making a significant contribution to the formal analysis of human cognition.Geraldine Legendre is Professor of Cognitive Science at Johns Hopkins University and a preeminent syntactician of French.

Product Details

ISBN:
9780262516198
Author:
Smolensky, Paul
Publisher:
MIT Press (MA)
Author:
&
Author:
raldine
Author:
eacute
Author:
Legendre, G
Author:
Legendre, Geraldine
Location:
Cambridge
Subject:
Linguistics
Subject:
Linguistics - General
Edition Description:
Trade paper
Series:
The Harmonic Mind
Series Volume:
Volume 1
Publication Date:
20110131
Binding:
TRADE PAPER
Grade Level:
from 17
Language:
English
Pages:
592
Dimensions:
9 x 7 x 1 in

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The Harmonic Mind, Volume 1: Cognitive Architecture: From Neural Computation to Optimality-Theoretic Grammar (Bradford Books) New Trade Paper
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Product details 592 pages MIT Press (MA) - English 9780262516198 Reviews:
"Synopsis" by , An integrated connectionist/symbolic architecture of the mind/brain, applied to neural/genomic realization of grammar; acquisition, processing, and typology in phonology and syntax; and foundations of cognitive explanation.
"Synopsis" by , Despite their apparently divergent accounts of higher cognition, cognitive theories based on neural computation and those employing symbolic computation can in fact strengthen one another. To substantiate this controversial claim, this landmark work develops in depth a cognitive architecture based in neural computation but supporting formally explicit higher-level symbolic descriptions, including new grammar formalisms.
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