Parallel Distributed Processing, Volume 2: Explorations in the Microstructure of Cognition: Psychological and Biological Models - Softcover

Mcclelland, James L. L.; Rumelhart, David E.; PDP Research Group

Softcover

ISBN 10: 0262631105 ISBN 13: 9780262631105

Publisher: MIT Press, 1987

Synopsis

What makes people smarter than computers? The work described in these two volumes suggests that the answer lies in the massively parallel architecture of the human mind. It is some of the most exciting work in cognitive science, unifying neural and cognitive processes in a highly computational framework, with links to artificial intelligence. Although thought and problem solving have a sequential character when viewed over a time frame of minutes or hours, the authors argue that each step in the sequence is the result of the simultaneous activity of a large number of simple computational elements, each influencing others and being influenced by them. Parallel Distributed Processing describes their work in developing a theoretical framework for describing this parallel distributed processing activity and in applying the framework to the development of models of aspects of perception, memory, language, and thought. Volume 2 applies to a number of specific issues in cognitive science and neuroscience. Some chapters describe models of aspects of perception, memory, language, and thought. Others discuss the relation between parallel distributed processing models and neurophysiology or describe models that are specifically addressed to neurophysiological data. The book concludes with an epilogue noting the strengths and weaknesses of the approach and directions for the future.

About this title

Review

"ÝThis is¨ a comprehensive compilation of neural network research and development. There are algorithms you can use to explore various methods in the field. If you want information on neural network technology in book form, this is the set to own."- "Artificial Intelligence Special Interest Group Newsletter"

- James G. Greeno, "The New York Times Book Review"

- "Artificial Intelligence Special Interest Group Newsletter"

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

" The ideas represented in "Parallel Distributed Processing" fundamentally challenge the main concepts and assumptions of modern cognitive science." - James G. Greeno, "The New York Times Book Review"

" Rumelhart and McClelland propose that what is stored in memory is not specific facts or events, but rather the relationships between the various aspects of those facts or events as they are encoded in groupings of neuronal cells or patterns of cell activity." - Daniel Coleman, "The New York Times"

" [This is] a comprehensive compilation of neural network research and development. There are algorithms you can use to explore various methods in the field. If you want information on neural network technology in book form, this is the set to own." - "Artificial Intelligence Special Interest Group Newsletter"

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

& quot; The ideas represented in Parallel Distributed Processing fundamentally challenge the main concepts and assumptions of modern cognitive science.& quot; - James G. Greeno, The New York Times Book Review

& quot; [This is] a comprehensive compilation of neural network research and development. There are algorithms you can use to explore various methods in the field. If you want information on neural network technology in book form, this is the set to own.& quot; - Artificial Intelligence Special Interest Group Newsletter

From the Back Cover

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.

Edition details

• Publisher: MIT Press
• Publication date: 1987
• ISBN 10: 0262631105
• ISBN 13: 9780262631105
• Binding: Paperback
• Language: English
• Number of pages: 630