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Evolution of Artificial Neural Development [electronic resource] : In search of learning genes / by Gul Muhammad Khan.

By: Khan, Gul Muhammad [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 725Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XIII, 139 p. 55 illus., 28 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319674667.Subject(s): Computational intelligence | Artificial intelligence | Computational Intelligence | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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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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.

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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