Machines That Learn

Machines That Learn : Based on the Principles of Empirical Control

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This new far-sighted book focuses on the design of robotic devices that can learn from their own experience, without input from outside sources, thus establishing self-sustaining behaviour. These machines of the future will be able to assist people in many tasks, both at home and work. Functions include monitoring industrial equipment, piloting aircraft, and performing many routine jobs without special instructions. The development of such devices is the subject of much ongoing and planned research in a number of fields, including control theory, neuroscience, and behavioural more

Product details

  • Hardback | 902 pages
  • 167.64 x 238.76 x 48.26mm | 1,428.81g
  • Oxford University Press Inc
  • New York, United States
  • English
  • 200 line drawings
  • 0195069668
  • 9780195069662

Table of contents

Machine Behaviour; A Program Controlled Machine; A Self-Programming Controlled Machine; Probabilistic Empirical Systems; Unitary and Diverse Systems; Superimposed Systems; The Unitization of Empirical Systems; more