Neural Networks

Proceedings of the -School on Neural Networks - June 1967 in Ravello

  • E. R. Caianiello

Table of contents

  1. Front Matter
    Pages I-VII
  2. V. Braitenberg
    Pages 34-42
  3. M. A. Arbib, G. F. Franklin, N. Nilsson
    Pages 43-58
  4. E. R. Caianiello, A. de Luca, L. M. Ricciardi
    Pages 92-99
  5. A. de Luca, L. M. Ricciardi
    Pages 100-109
  6. J. D. Aplevich
    Pages 110-115
  7. S. Noguchi, K. Nagasawa, J. Oizumi
    Pages 158-164
  8. R. E. Kalman
    Pages 170-177
  9. B. Touschek
    Pages 178-180
  10. J. D. Cowan
    Pages 181-188
  11. Back Matter
    Pages 189-190

About this book

Introduction

Sciences may be nowadays grouped into three classes, having as their subjects of study respectively Matter, Life and Intelligence. That "Intelligence" may be studied in a quantitative manner is a discovery of our age, not less significant in many ways than the 17th ceiltury realization that celestial phenomena are of one and the same nature as terrestrial and all other physical accidents. As the latter was accomplished through and accompanied by a major revolution in philosophy and method, so is now the scientific investigation of intelligent phenomena - although harely begun - already causing an unprecedented revolution in all our previous conceptions as mind and machine, society and organization. What electronic com­ puters have already accomplished in disclosing perspectives to sciences and imposing new approached to management is but a negligible change, if compared to those yet in store, which will closely follow the understanding of the many as yet unknown functional principles which make nervous systems act and react the way they do. The study of Neural Networks is the key point in the systematic quantitative investigation of such phenomena. With patience and humility, neuroanatomists and physiologists try to connect structure with function in systems of neurons which are "simple" enough to be studied with the extant techniques, either because of the paucity of their elements or because of the high degree of symmetry these possess (e. g.

Keywords

management networks neural networks organization society

Editors and affiliations

  • E. R. Caianiello
    • 1
  1. 1.Laboratorio di Cibernetica del CNRArco Felice, NapoliItalia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-87596-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 1968
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-87598-4
  • Online ISBN 978-3-642-87596-0
  • About this book