Applied Swarm Intelligence

1. Auflage 2024
ISBN: 978-0-367-22687-9
Verlag: CRC Press

Buch, Englisch, 200 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 678 g

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.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Altshuler, Yaniv

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Naturwissenschaften Biowissenschaften Biowissenschaften
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Preface. Recent Developments in the Theory and Applicability of Swarm Search. Modeling and Prediction of Ride Sharing Utilization Dynamics. The Dynamics of Autonomous Drone Swarms in Surveillance: Exploring Efficiency, Feasibility, and Complexity. Defending Large-Scale Critical Infrastructures using a Swarm of Drones. Socioeconomic Patterns of Twitter Activity. From Microbes to Methane: AI-Based Predictive Modeling of Feed Additive Efficacy in Dairy Cows.

Über Autor(innen)

Yaniv Altshuler, a leading expert in Artificial Intelligence, is a researcher at the MIT Media Lab, Cambridge, Massachusetts, USA and a dynamic entrepreneur. Over the past decade he has used his expertise to advise leading financial institutes and government agencies worldwide. Yaniv is the author of 3 books on the topic of AI and has published over 80 scientific papers and filed 18 patents. His research has been covered by Harvard Business Review, Financial Times, Communications of the ACM, IEEE Spectrum and others.