Practical Artificial Intelligence in Julia: Implementing Neural Networks, Genetic Algorithms, and Neuroevolution in Julia - Couverture souple

Bergel, Alexandre

Couverture souple

ISBN 13 : 9798868825941

Editeur : APress, 2026

Synopsis

Develop a thorough grasp of artificial intelligence through practical implementations in Julia. This trailblazing book covers classical AI algorithms and provides practical implementations of agile AI applications, highlighting Julia's versatility and high-performance capabilities for AI development.

This book takes a practical approach to ensure that readers translate theoretical concepts into tangible, real-world scenarios. Along the way, you will learn and implement neural networks, genetic algorithms, and neuroevolution from scratch. Author Dr. Alexandre Bergel uses practical examples, such as solutions to the traveling sales problem and a fun platform game (including a random level generator) to reinforce AI techniques. It also introduces Darwinian evolution principles, demonstrating how to evolve zoomorphic organisms to solve particular tasks, such as stair climbing or going over obstacles.

This book stands out as among the earliest to delve into Genertic Algorithms and Neuroevolutions in Julia, and it is one of the few available that offers a comprehensive implementation of Neuroevolution. It is equally as fun as it is informative, providing readers with source code to play along with and apply to future projects.

 

What You Will Learn:

• Solve simple classification tasks using neural networks
• Use genetic algorithms to solve complex algorithmic problems
• Apply Darwinian evolution principles to evolve artificially living creatures
• Discover how to Neuroevolution to build an artificial player to solve a platform game

 

Who This Book is For:

This book is written for software engineers, programmers and developers who are eager to gain practical insights into AI implementation using Julia at a beginner/intermediate level

A propos du livre

À propos de l'auteur

Dr. Alexandre Bergel is Computer Scientist at RelationalAI, Switzerland. Until 2022, he was an Associate Professor and researcher at the University of Chile. Alexandre Bergel and his collaborators carry out research in software engineering. His interest includes designing tools and methodologies to improve the overall performance and internal quality of software systems and databases by employing profiling, visualization, and artificial intelligence techniques.

Alexandre Bergel has authored over 170 articles, published in international and peer-reviewed scientific forums, including the most competitive conferences and journals in the field of software engineering. Alexandre has participated in over 175 program committees of international events. Several of his research prototypes have been turned into products and adopted by major companies in the semiconductor industry, certification of critical software systems, and aerospace industry.

Alexandre gave talks to prominent research institutes, including NASA JPL and the Deutsches Zentrum für Luft- und Raumfahrt (DLR).

Alexandre is a member of the editorial board of Empirical Software Engineering. Alexandre authored 4 books: Agile Visualization with Pharo, Agile Artificial Intelligence in Pharo, Agile Visualization, and co-authored the book Deep Into Pharo.

Détails de l'édition

• Éditeur: APress
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798868825941
• Reliure: Broché
• Nombre de pages: 163
• Coordonnées du fabricant: non disponible
• Personne responsable: GPSR Kontakt; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne