Evolution of Artificial Neural Development : In Search of Learning Genes
Language: English
Published by Springer, 2017
Series: Book 254 of 538 - Studies in Computational Intelligence
- Hardcover
- New
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
AbeBooks seller since January 28, 2020
Condition: New
US$ 135.14
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Add to basketSeller Inventory # 29944026-n
- Title
- Evolution of Artificial Neural Development : In Search of Learning Genes
- Author
- Khan, Gul Muhammad
- Publisher
- Springer
- Publication year
- 2017
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319674641
- ISBN 13
- 9783319674643
- Series
- Book 254 of 538: Studies in Computational Intelligence
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”.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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”.
"About the title" may belong to another edition of this title.
GreatBookPricesUK
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