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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter

2018 | OriginalPaper | Buchkapitel

Chapter 1. Making the Computer ‘Brained’

Gul Muhammad Khan

2018 | OriginalPaper | Buchkapitel

Chapter 2. The Biology of Brain: An Insight into the Human Brain

Gul Muhammad Khan

2018 | OriginalPaper | Buchkapitel

Chapter 3. Evolutionary Computation

Gul Muhammad Khan

2018 | OriginalPaper | Buchkapitel

Chapter 4. Artificial Neural Network (ANNs)

Gul Muhammad Khan

2018 | OriginalPaper | Buchkapitel

Chapter 5. Structure and Operation of Cartesian Genetic Programming Developmental Network (CGPDN) Model

Gul Muhammad Khan

2018 | OriginalPaper | Buchkapitel

Chapter 6. Wumpus World

Gul Muhammad Khan

2018 | OriginalPaper | Buchkapitel

Chapter 7. Checkers

Gul Muhammad Khan

2018 | OriginalPaper | Buchkapitel

Chapter 8. Concluding Remarks and Future Directions

Gul Muhammad Khan

Backmatter

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