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one of the earliest and most influential neural networks:
Frank Rosenblatt’s introduction of the perceptron,
an important milestone in the field of artificial intelligence

Frank Rosenblatt: The Perceptron, first edition

“The theory reported here clearly demonstrates the feasibility and fruitfulness of a quantitative statistical approach to the organization of cognitive systems. By the study of systems such as the perceptron, it is hoped that those fundamental laws of organization which are common to all information handling systems, machines and men included, may eventually be understood.”

ROSENBLATT, Frank. The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. In, Psychological Review, Vol. 65, No. 6, pp. 386-408, November, 1958. Lancaster, PA and Washington, DC: American Psychological Association, 1958. Octavo, original blue wrappers; custom box. $2300.

First edition of Frank Rosenblatt’s widely influential contribution to the field of artificial intelligence: the introduction of the perceptron, a “hypothetical nervous system” designed to mimic some of the organizational systems used in the brain. 

In 1957 Frank Rosenblatt of the Cornell Aeronautical Laboratory at Cornell University in Ithaca, New York, began investigating artificial neural networks that he called perceptrons. He made major contributions to the field of AI, both through experimental investigations of the properties of neural networks (using computer simulations) and through detailed mathematical analysis. Rosenblatt was a charismatic communicator, and there were soon many research groups in the United States studying perceptrons. Rosenblatt and his followers called their approach connectionist to emphasize the importance in learning of the creation and modification of connections between neurons. Modern researchers have adopted this term” (Britannica). Rosenblatt’s perceptron was able to recognize patterns of similarity between new data and data it has already seen in a feed-forward model that demonstrated a primitive type of learning or trainability. His work was highly influential in the development of later multi-layered neural networks. Owner signature on cover, slight fading to spine. A fine copy. Rare in original wrappers.

 

Science/Technology/Medicine

Literature/Modern Firsts

Americana/History/Travel

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