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Full Description
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.
Contents
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.
