Agile Artificial Intelligence in Pharo: Implementing Neural Networks, Genetic Algorithms, and Neuroevolution

Author:   Alexandre Bergel
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484253830


Pages:   386
Publication Date:   21 June 2020
Format:   Paperback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Agile Artificial Intelligence in Pharo: Implementing Neural Networks, Genetic Algorithms, and Neuroevolution


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Author:   Alexandre Bergel
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.773kg
ISBN:  

9781484253830


ISBN 10:   1484253833
Pages:   386
Publication Date:   21 June 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1: Introduction2: The Perceptron Model3: Artificial Neuron4: Neural Networks5: Theory on Learning6: Data Classification7: A Matrix Library8: Matrix-Based Neural Network9: Genetic Algorithm10: Genetic Algorithm in Action11: Traveling Salesman Problem12: Exiting a Maze13: Building Zoomorphic Creatures14: Evolving Zoomorphic Creature15: Neuroevolution16: Neuroevolution with NEAT17: The MiniMario Video GameLast Words (Afterword)

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Alexandre Bergel, Ph.D., is an associate professor in the Department of Computer Science (DCC) at the University of Chile and is a member of the Intelligent Software Construction laboratory (ISCLab). His research interests include software engineering, software performance, software visualization, programming environment, and machine learning. He is interested in improving the way we build and maintain software. His current hypotheses are validated using rigorous empirical methodologies. To make his research artifacts useful not only to stack papers, he co-founded Object Profile.

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