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Emily St. John Mandel: IMG Powell’s Q&A: Emily St. John Mandel



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    Station Eleven

    Emily St. John Mandel 9780385353304

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Other titles in the Parallel Distributed Processing series:

Parallel Distributed Processing: Explorations in the Microstructure of Cognition

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Parallel Distributed Processing: Explorations in the Microstructure of Cognition Cover

 

Synopses & Reviews

Publisher Comments:

What 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.

A Bradford Book.

Synopsis:

Volume 1 lays the foundations of this exciting theory of parallel distributed processing

Synopsis:

What 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.

Synopsis:

What 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.

About the Author

David E. Rumelhart is Professor of Psychology at the University of California, San Diego. With James McClelland, he was awarded the 2002 University of Louisville Grawemeyer Award for Psychology for his work in the field of cognitive neuroscience on a cognitive framework called parallel distributed processing and the concept of connectionism.James L. McClelland is Professor of Psychology and Director of the Center for Mind, Brain, and Computation at Stanford University. He is the coauthor of Parallel Distributed Processing (1986) and Semantic Cognition (2004), both published by the MIT Press.

Product Details

ISBN:
9780262680530
With:
McClelland, James L.
With:
PDP Research Group
With:
McClelland, James L.
Author:
Rumelhart, David E.
Author:
Pdp Research Group
Author:
McClelland, James L.
Author:
Feldman, Jerome
Author:
Pdp Research Group, The
Author:
PDP Research Group
Publisher:
Bradford Book
Location:
Cambridge
Subject:
Medicine
Subject:
Cognitive Psychology
Subject:
Parallel Processing
Subject:
Information storage and retrieval systems
Subject:
Data Processing - Parallel Processing
Subject:
Systems Architecture - Distributed Systems &
Subject:
Operating Systems - General
Edition Description:
Trade paper
Series:
Bradford Books Parallel Distributed Processing
Series Volume:
Volume 1
Publication Date:
19870731
Binding:
TRADE PAPER
Grade Level:
from 17
Language:
English
Pages:
567
Dimensions:
9 x 6 in

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Related Subjects

Computers and Internet » Artificial Intelligence » Fuzzy Logic
Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computer Architecture » Parallel
Computers and Internet » Operating Systems » General
Health and Self-Help » Psychology » Cognitive Science

Parallel Distributed Processing: Explorations in the Microstructure of Cognition New Trade Paper
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$50.95 In Stock
Product details 567 pages MIT Press - English 9780262680530 Reviews:
"Synopsis" by , Volume 1 lays the foundations of this exciting theory of parallel distributed processing
"Synopsis" by , What 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.
"Synopsis" by , What 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.

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