Applied Swarm Intelligence
1st Edition
Published on 19. December 2024
Book
Hardback
332 pages
978-0-367-22687-9 (ISBN)
Description
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
College/higher education
Academic and Postgraduate
Illustrations
42 s/w Photographien bzw. Rasterbilder, 10 farbige Abbildungen, 126 s/w Abbildungen, 7 Farbfotos bzw. farbige Rasterbilder, 84 s/w Zeichnungen, 3 farbige Zeichnungen
3 Line drawings, color; 84 Line drawings, black and white; 7 Halftones, color; 42 Halftones, black and white; 10 Illustrations, color; 126 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 23 mm
Weight
678 gr
ISBN-13
978-0-367-22687-9 (9780367226879)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Yaniv Altshuler
Applied Swarm Intelligence
Book
approx. 07/2026
1st Edition
CRC Press
€66.00
Not yet published
Person
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.
Content
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.