Automata Studies. (AM-34), Volume 34

Automata Studies. (AM-34), Volume 34

by C. E. Shannon, J. McCarthy
ISBN-10:
0691079161
ISBN-13:
9780691079165
Pub. Date:
04/21/1956
Publisher:
Princeton University Press
ISBN-10:
0691079161
ISBN-13:
9780691079165
Pub. Date:
04/21/1956
Publisher:
Princeton University Press
Automata Studies. (AM-34), Volume 34

Automata Studies. (AM-34), Volume 34

by C. E. Shannon, J. McCarthy
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Overview

A classic contribution to automata studies from the acclaimed Annals of Mathematics Studies series

Princeton University Press is proud to have published the Annals of Mathematics Studies since 1940. One of the oldest and most respected series in science publishing, it has included many of the most important and influential mathematical works of the twentieth century. The series continues this tradition as Princeton University Press publishes the major works of the twenty-first century.

To mark the continued success of the series, all books are available in paperback and as ebooks.


Product Details

ISBN-13: 9780691079165
Publisher: Princeton University Press
Publication date: 04/21/1956
Series: Annals of Mathematics Studies , #34
Pages: 285
Product dimensions: 7.50(w) x 9.25(h) x (d)

Table of Contents

  • Frontmatter, pg. i
  • Preface, pg. v
  • Contents, pg. ix
  • Representation of Events in Nerve Nets and Finite Automata, pg. 3
  • Probabilistic Logics and the Synthesis of Reliable Organisms From Unreliable Components, pg. 43
  • Some Uneconomical Robots, pg. 99
  • Some Universal Elements for Finite Automata, pg. 117
  • Gedanken-Experiments on Sequential Machines, pg. 129
  • A Universal Turing Machine with Two Internal States, pg. 157
  • A Note on Universal Turing Machines, pg. 167
  • The Inversion of Functions Defined by Turing Machines, pg. 177
  • Computability by Probabilistic Machines, pg. 183
  • Design for an Intelligence-Amplifier, pg. 215
  • The Epistemological Problem for Automata, pg. 235
  • Conditional Probability Machines and Conditioned Reflexes, pg. 253
  • Temporal and Spatial Patterns in a Conditional Probability Machine, pg. 277



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