This book provides a comprehensive analysis of the tools and techniques used today for designing and modeling of efficient and robust Swarm Intelligence based systems: highly (or fully) decentralized, semi-autonomous, highly-scalable infrastructures in various real-life scenarios. Among others, the book reviews the use of the Swarm Intelligence paradigm in financial investment, blockchain protocols design, shared transportation systems, communication networks, bioinformatics, and military applications. Theoretical and practical limitations of such systems, as well as trade-offs between the various economic and operational parameters of the systems, are discussed. The book is intended for researchers and engineers in the fields of swarm systems, economics, agriculture, nutrition, and operation research. Provides a comprehensive analysis of the tools and techniques used for the development of efficient and robust decentralized infrastructures for various real-life scenarios, ranging from financial investment through blockchain protocols, shared transportation systems and communication networks, to bioinformatics and military applications.
In the ever-evolving field of Artificial Intelligence, swarm intelligence stands as a pivotal paradigm that emphasizes the power of collective behavior and decentralized decision-making. This book, “Applied Swarm Intelligence,” aims to bridge the gap between theoretical research and real-world applications, offering a comprehensive exploration of how swarm-based approaches can address complex and dynamic problems across various domains.
The inception of this work was driven by a fascination with the natural world—how simple creatures, following simple rules, can achieve complex and adaptive behaviors that far exceed the capabilities of any single individual. This book endeavors to translate these natural phenomena into technological advancements that can enhance human capabilities and efficiencies in unprecedented ways.
The scope of this book spans several cutting-edge applications, from optimizing ride-sharing dynamics to deploying autonomous drone swarms for surveillance and infrastructure defence. Each chapter not only delves into the current state of research but also pushes the boundaries by presenting new findings and methodologies that advance the field.
The target audience for this work includes academic researchers, industry professionals, and enthusiasts in the fields of Computer Science, robotics, and Artificial Intelligence. It is structured to provide both depth and breadth in understanding Swarm Intelligence, making it accessible to newcomers while still offering valuable insights for seasoned experts.
This book is more than just an academic text; it is a call to rethink how we approach problem-solving and innovation in the age of AI. It invites you, the reader, to explore how the principles of Swarm Intelligence can be applied to your own work, potentially transforming challenges into opportunities. Enjoy your journey through the intriguing world of AI and Swarm Intelligence.
Навигация
Вход на сайт
Реклама
Applied Swarm Intelligence 
