Evolution of Artificial Neural Development

In search of learning genes
1. Auflage 2018
ISBN: 978-3-319-67464-3
Verlag: Springer International Publishing

Buch, Englisch, Band 725, 139 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 3613 g

Reihe: 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”.

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.

Zielgruppe

Research

Autoren/Hrsg.

Khan, Gul Muhammad

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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