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Evolution of Artificial Neural Development: In search of learning genes: Studies in Computational Intelligence, cartea 725

Autor Gul Muhammad Khan
en Limba Engleză Hardback – 8 noi 2017
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.
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Specificații

ISBN-13: 9783319674643
ISBN-10: 3319674641
Pagini: 139
Ilustrații: XIII, 139 p. 55 illus., 28 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.4 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Making the Computer ‘Brained’.- The Biology of Brain:An insight into the Human Brain.- Evolutionary Computation.- Artificial Neural Network (ANNs).- Structure and Operation of Cartesian Genetic Programming Developmental Network (CGPDN) Model.- Wumpus World.- Checkers.- Concluding Remarks and Future Directions.

Textul de pe ultima copertă

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.

Caracteristici

Presents recent research on the evolution of artificial neural development Searches for learning genes Written by leading experts in the field