'A statistical consequence of the logical calculus of nervous nets', Bulletin of Mathematical Biophysics 5 (1943), pp. 135-137

LANDAHL, H.D., McCULLOCH, Warren S., and PITTS, Walter

Published by University of Chicago, 1943

The application of statistical methods to artificial neural networks: a milestone in the history of AI research. Towards the end of the nineteenth century Alexander Bain and William James had pioneered the notion that human thought and learning operated via 'neural networks'. In the 1930s Pitts' supervisor Rashevsky developed a mathematically rigorous account of neural nets. McCulloch and Pitts had then shown how Boolean Logic could operate in a neural network. Here they collaborated with Herbert Landahl to convert the strictly Boolean model into a statistical model. This demonstrates the possibility of weighting and induction within the neural network model - key concepts for the development of neural networks in Machine Learning. This is believed to be an offprint but from this journal offprints were not marked as such; the pages are now neatly bound in modern buckram with a gilt spine label. Near fine condition. Seller Inventory # 2410321010

Bibliographic Details

Title: 'A statistical consequence of the logical ...
Publisher: University of Chicago
Publication Date: 1943
Binding: Hardcover
Condition: Near Fine
Edition: 1st Edition