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Evolution of Artificial Neural Development

In search of learning genes

  • Gul Muhammad Khan

Part of the Studies in Computational Intelligence book series (SCI, volume 725)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Gul Muhammad Khan
    Pages 1-7
  3. Gul Muhammad Khan
    Pages 29-37
  4. Gul Muhammad Khan
    Pages 39-55
  5. Gul Muhammad Khan
    Pages 83-105
  6. Gul Muhammad Khan
    Pages 107-124
  7. Gul Muhammad Khan
    Pages 125-130
  8. Back Matter
    Pages 131-139

About this book

Introduction

This book presents recent research on the evolution of artificial neural development, and searches for learning genes. It is fascinating to see how all biological cells share virtually the same traits, but humans have a decided edge over other species when it comes to intelligence. Although DNA decides the form each particular species takes, does it also account for intelligent behaviour in living beings?

The authors explore the factors that are perceived as intelligent behaviour in living beings and the incorporation of these factors in machines using genetic programming, which ultimately provides a platform for exploring the possibility of machines that can learn by themselves, i.e. that can “learn how to learn”.

The book will be of interest not only to the specialized scientific community pursuing machine intelligence, but also general readers who would like to know more about the incorporation of intelligent behaviour in machines, inspired by the human brain.

Keywords

Artificial Neural Development Computational Intelligence Evolution Learning Genes CGPDN

Authors and affiliations

  • Gul Muhammad Khan
    • 1
  1. 1.Electrical Engineering DepartmentUniversity of Engineering and Technology, PeshawarPeshawarPakistan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67466-7
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-67464-3
  • Online ISBN 978-3-319-67466-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site