The Origins of Cyberspace collection described as lots 1-255 will first be offered as a single lot, subject to a reserve price. If this price is not reached, the collection will be immediately offered as individual lots as described in the catalogue as lots 1-255.
ROSENBLATT, Frank (b.1928) "The perceptron: A probabilistic model for information storage and organization in the brain." In Psychological Review 65 (November 1958): 386-408.
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ROSENBLATT, Frank (b.1928) "The perceptron: A probabilistic model for information storage and organization in the brain." In Psychological Review 65 (November 1958): 386-408.
4o. Original blue printed wrappers; boxed.
FIRST EDITION. ROSENBLATT'S PAPER INTRODUCED THE PERCEPTRON, THE FIRST PRECISELY SPECIFIED, COMPUTATIONALLY ORIENTED NEURAL NETWORK. ("Neural network" is the term used to describe a system deliberately constructed to employ some of the organizational principles believed to be used by the human brain.) The perceptron had the ability to recognize patterns and to associate new patterns with ones it had "seen" before on the basis of similarity; like the brain, it could function in the presence of "noise" and with damaged or missing connections. Later models were capable of trial-and-error learning and could be taught to emit ordered sequences of responses. Rosenblatt's perceptron theory took an empiricist or "connectionist" position with regard to the central questions of how information is stored or remembered, and how information contained in storage or memory influences recognition and behavior. OOC 870.
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FIRST EDITION. ROSENBLATT'S PAPER INTRODUCED THE PERCEPTRON, THE FIRST PRECISELY SPECIFIED, COMPUTATIONALLY ORIENTED NEURAL NETWORK. ("Neural network" is the term used to describe a system deliberately constructed to employ some of the organizational principles believed to be used by the human brain.) The perceptron had the ability to recognize patterns and to associate new patterns with ones it had "seen" before on the basis of similarity; like the brain, it could function in the presence of "noise" and with damaged or missing connections. Later models were capable of trial-and-error learning and could be taught to emit ordered sequences of responses. Rosenblatt's perceptron theory took an empiricist or "connectionist" position with regard to the central questions of how information is stored or remembered, and how information contained in storage or memory influences recognition and behavior. OOC 870.
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