Parallel Distributed Processing, Volume 1

Explorations in the Microstructure of Cognition: Foundations

By: David E. Rumelhart

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Paperback | 29 July 1987

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Paperback
570 Pages

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18+

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0.1 x 0.1 x 0.1

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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."

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The most intense, most effective and most mind-stretching view of neurocomputing origins, theories and concerns to yet reach print. * Intelligence *

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You Can Find This Book In

Non-Fiction Medicine Medical Study & Revision Guides & Reference Material Computing & I.T.Computer Science Computer Architecture & Logic Design Parallel Processing Psychology Cognition & Cognitive Psychology Artificial Intelligence Neural Networks & Fuzzy Systems Psychological Theory, Systems, Schools of Thought & Viewpoints

Cognitivism, Cognitive Theory

Preface
Acknowledgments
Addresses of the PDP Research Group
The Pdp Perspective
The Appeal of Parallel Distributed Processing
A General Framework for Parallel Distributed Processing
Distributed Representations
PDP Models and General Issues in Cognitive Science
Basic Mechanisms
Feature Discovery by Competitive Learning
Information Processing in Dynamical Systems: Foundations of Harmony Theory
Learning and Relearning in Holtzmann Machines
Learning Internal Representations by Error Propagation
Formal Analysis
An Introduction to Linear Algebra in Parallel Distributed Processing
The Logic of Activation Functions
An Analysis of the Delta Rule and the Learning of Statistical Associations
Resource Requirements of Standard and Programmable Nets
P3: A Parallel Network Simulating System
References
Index
Table of Contents provided by Publisher. All Rights Reserved.

Parallel Distributed Processing, Volume 1

Explorations in the Microstructure of Cognition: Foundations

At a Glance

Paperback

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

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