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.
