- Series: Parallel Distributed Processing (Book 1)
- Hardcover: 567 pages
- Publisher: A Bradford Book; 1st edition (July 17, 1986)
- Language: English
- ISBN-10: 0262181207
- ISBN-13: 978-0262181204
- Product Dimensions: 6 x 1.3 x 9 inches
- Shipping Weight: 1.9 pounds (View shipping rates and policies)
- Average Customer Review: 4 customer reviews
- Amazon Best Sellers Rank: #1,545,688 in Books (See Top 100 in Books)
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Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations (Volume 1) Hardcover – July 17, 1986
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This two-volume work is now considered a classic in the field. It presents the results of the Parallel Distributed Processing (PDP) group's work in the early 1980s and provides a good overview of the earlier neural network research. The PDP approach (also known as connectionism among other things) is based on the conviction that various aspects of cognitive activity are thought of in terms of massively parallel processing. The first volume starts with the general framework and continues with an analysis of learning mechanisms and various mathematical and computational tools important in the analysis of neural networks. The chapter on backpropagation is written by Rumelhart, Hinton, and Williams, who codiscovered the algorithm in 1986. The second volume is written with a psychological and biological emphasis. It explores the relationship of PDP to various aspects of human cognition. The book is a comprehensive research survey of its time and most of the book's results and methods are still at the foundation of the neural network field.
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)
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In a word without exaggeration, the importance of this book to connectionist and AI researchers is like the Bible to Christians. Read it, enjoy it, once and again.
Read it if you believe artifical intelligence is a bunch of hooey - I do, except this stuff.