© 2020

Agile Artificial Intelligence in Pharo

Implementing Neural Networks, Genetic Algorithms, and Neuroevolution


Table of contents

  1. Front Matter
    Pages i-xxi
  2. Neural Networks

    1. Front Matter
      Pages 1-1
    2. Alexandre Bergel
      Pages 3-35
    3. Alexandre Bergel
      Pages 37-51
    4. Alexandre Bergel
      Pages 53-68
    5. Alexandre Bergel
      Pages 69-88
    6. Alexandre Bergel
      Pages 89-116
    7. Alexandre Bergel
      Pages 117-139
    8. Alexandre Bergel
      Pages 141-151
  3. Genetic Algorithms

    1. Front Matter
      Pages 153-153
    2. Alexandre Bergel
      Pages 155-194
    3. Alexandre Bergel
      Pages 195-208
    4. Alexandre Bergel
      Pages 209-224
    5. Alexandre Bergel
      Pages 225-235
    6. Alexandre Bergel
      Pages 237-264
    7. Alexandre Bergel
      Pages 265-280
  4. Neuroevolution

    1. Front Matter
      Pages 281-281
    2. Alexandre Bergel
      Pages 283-294
    3. Alexandre Bergel
      Pages 295-354
    4. Alexandre Bergel
      Pages 355-375

About this book


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.  

You will:
  • 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


agile AI artificial intelligence Pharo programming software application algorithms source code

Authors and affiliations

  1. 1.SantiagoChile

About the authors

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.

Bibliographic information

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