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

Alexandre Bergel

386 pages, parution le 21/08/0202

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Résumé

Cover classical algorithms commonly used as artificial intelligence techniques and program agile artificial intelligence applications using Pharo. This book takes a practical approach by presenting the implementation details to illustrate the numerous concepts it explains.
Along the way, you'll learn neural net fundamentals to set you up for practical examples such as the traveling salesman problem and cover genetic algorithms including a fun zoomorphic creature example. Furthermore, Practical Agile AI with Pharo finishes with a data classification application and two game applications including a Pong-like game and a Flappy Bird-like game. This book is informative and fun, giving you source code to play along with. You'll be able to take this source code and apply it to your own projects.

What You Will Learn

Use neurons, neural networks, learning theory, and more
Work with genetic algorithms
Incorporate neural network principles when working towards neuroevolution
Include neural network fundamentals when building three Pharo-based applications

Who This Book Is For
Coders and data scientists who are experienced programmers and have at least some prior experience with AI or deep learning. They may be new to Pharo programming, but some prior experience with it would be helpful.
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) 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.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Apress
Auteur(s)	Alexandre Bergel
Parution	21/08/0202
Nb. de pages	386
EAN13	9781484253830

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

Résumé

Caractéristiques techniques

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