Overview
- Presents recent research on the evolution of artificial neural development
- Searches for learning genes
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 725)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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”.
Authors and Affiliations
Bibliographic Information
Book Title: Evolution of Artificial Neural Development
Book Subtitle: In search of learning genes
Authors: Gul Muhammad Khan
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-67466-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-67464-3Published: 08 November 2017
Softcover ISBN: 978-3-319-88435-6Published: 25 August 2018
eBook ISBN: 978-3-319-67466-7Published: 27 October 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIII, 139
Number of Illustrations: 27 b/w illustrations, 28 illustrations in colour