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Agile Artificial Intelligence in Pharo

Implementing Neural Networks, Genetic Algorithms, and Neuroevolution

  • Book
  • © 2020

Overview

Authors:
  1. Alexandre Bergel

    1. Santiago, Chile

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  • The first book that uses the Pharo programming language

  • Covers artificial intelligence and practical algorithm programming using Pharo

  • Includes three fully working sample applications

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-xxi
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  2. Neural Networks

    1. Front Matter

      Pages 1-1
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    2. The Perceptron Model

      • Alexandre Bergel
      Pages 3-35

    3. The Artificial Neuron

      • Alexandre Bergel
      Pages 37-51

    4. Neural Networks

      • Alexandre Bergel
      Pages 53-68

    5. Theory on Learning

      • Alexandre Bergel
      Pages 69-88

    6. Data Classification

      • Alexandre Bergel
      Pages 89-116

    7. A Matrix Library

      • Alexandre Bergel
      Pages 117-139

    8. Matrix-Based Neural Networks

      • Alexandre Bergel
      Pages 141-151

  3. Genetic Algorithms

    1. Front Matter

      Pages 153-153
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    2. Genetic Algorithms

      • Alexandre Bergel
      Pages 155-194

    3. Genetic Algorithms in Action

      • Alexandre Bergel
      Pages 195-208

    4. The Traveling Salesman Problem

      • Alexandre Bergel
      Pages 209-224

    5. Exiting a Maze

      • Alexandre Bergel
      Pages 225-235

    6. Building Zoomorphic Creatures

      • Alexandre Bergel
      Pages 237-264

    7. Evolving Zoomorphic Creatures

      • Alexandre Bergel
      Pages 265-280

  4. Neuroevolution

    1. Front Matter

      Pages 281-281
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    2. Neuroevolution

      • Alexandre Bergel
      Pages 283-294

    3. Neuroevolution with NEAT

      • Alexandre Bergel
      Pages 295-354

    4. The MiniMario Video Game

      • Alexandre Bergel
      Pages 355-375
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Keywords

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.  




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. 


Authors and Affiliations

  • Santiago, Chile

    Alexandre Bergel

About the author

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.

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