Designed as both an accessible entry point for students and a comprehensive reference for experts, the book is rich in case studies, design patterns, and adaptable algorithmic recipes that readers can reuse and extend. Written as a didactic guide, it supports both self-study and teaching. To bridge theory and practice, the book is accompanied by open-source software for experimentation, prototyping, and reproducible research.

Students in artificial intelligence, computer science, robotics, and related fields will find this volume a clear and structured introduction, while researchers, AI experts, roboticists, and biologists can use it as a valuable reference work and an inspiration for their research.