Agile Artificial Intelligence in Pharo - Alexandre Bergel

Agile Artificial Intelligence in Pharo

Implementing Neural Networks, Genetic Algorithms, and Neuroevolution
Buch | Softcover
386 Seiten
2020 | 1st ed.
Apress (Verlag)
978-1-4842-5383-0 (ISBN)
64,19 inkl. MwSt
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. 

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.

Part I: Neural Network.- 1: The Perceptron Model.- 2: Artificial Neuron.- 3: Neural Networks.- 4: Theory on Learning.- 5: Data Classification.- 6: A Matrix Library.- 7: Matrix-Based Neural Network.- Part II: Genetic Algorithm.- 8: Genetic Algorithm.- 9: Genetic Algorithm in Action.- 10: Traveling Salesman Problem.- 11: Exiting a Maze.- 12: Building Zoomorphic Creatures.- 13: Evolving Zoomorphic Creature.- Part III: Neuroevolution.- 14: Neuroevolution.- 15: Neuroevolution with NEAT.- 16: The MiniMario Video Game.- Last Words.

Erscheinungsdatum
Zusatzinfo 75 Illustrations, color; 7 Illustrations, black and white; XXI, 386 p. 82 illus., 75 illus. in color.
Verlagsort Berkley
Sprache englisch
Maße 178 x 254 mm
Themenwelt Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
Informatik Theorie / Studium Compilerbau
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Agile • AI • algorithms • application • Artificial Intelligence • Code • Pharo • programming • Software • source
ISBN-10 1-4842-5383-3 / 1484253833
ISBN-13 978-1-4842-5383-0 / 9781484253830
Zustand Neuware
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