Evolution of artificial neural development : in search of learning genes 1st ed.

Author

• Khan, Gul Muhammad

Additional Author(s)

-

Publisher

Cham, Switzerland : Springer International Publishing, 2018

Language

English

ISBN

9783319674667

Series

Studies in computational intelligence 725

Subject(s)

• ARTIFICIAL INTELLIGENCE
• COMPUTATIONAL INTELLIGENCE

Notes

. .

Abstract

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.

Physical Dimension

Number of Page(s)

1 online resource (xiii, 139 p.)

Dimension

-

Other Desc.

ill. (in color.)

Summary / Review / Table of Content

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.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	01209/20	006.3 Kha E	Online !	Available