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”.
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”.
Evolution of Artificial Neural Development: In search of learning genes
Evolution of Artificial Neural Development: In search of learning genes
eBook (1st ed. 2018)
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Product Details
| ISBN-13: | 9783319674667 |
|---|---|
| Publisher: | Springer-Verlag New York, LLC |
| Publication date: | 10/27/2017 |
| Series: | Studies in Computational Intelligence , #725 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| File size: | 2 MB |