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Swarms and Network Intelligence in Search, Yaniv Altshuler; Alex Pentland; Alfred M. Bruckste


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Автор: Yaniv Altshuler; Alex Pentland; Alfred M. Bruckste
Название:  Swarms and Network Intelligence in Search
ISBN: 9783319875910
Издательство: Springer
Классификация:

ISBN-10: 3319875914
Обложка/Формат: Soft cover
Страницы: 238
Вес: 0.39 кг.
Дата издания: 2018
Серия: Studies in Computational Intelligence
Язык: English
Издание: Softcover reprint of
Иллюстрации: 53 illustrations, color; 63 illustrations, black and white; ix, 238 p. 116 illus., 53 illus. in color.
Размер: Book (Paperback Initiative)
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones. It discusses frameworks for robustly and near-optimally analyzing flocks of semi-autonomous vehicles designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined “search regions”. It discusses the theoretical limitations of such systems, as well as the trade-offs between the systems’ various economic and operational parameters.
Current UAV systems rely mainly on human operators for the design and adaptation of drones’ flying routes. However, recent technological advances have introduced new systems, comprised of a small number of self-organizing vehicles, manually guided at the swarm level by a human operator.
With the growing complexity o
f such man-supervised architectures, it is becoming increasingly harder to guarantee a pre-defined level of performance. The use of large scale swarms of UAVs as a combat and reconnaissance platform therefore necessitates the development of an efficient optimization mechanism of their utilization, specifically in the design and maintenance of their patrolling routes.
The book is intended for researchers and engineers in the fields of swarms systems and autonomous drones.

Дополнительное описание: Introduction to Swarm Search.- Cooperative “Swarm Cleaning” of Stationary Domains.- Swarm Search of Expanding Regions in Grids: Lower Bounds.- Swarm Search of Expanding Regions in Grids: Upper Bounds.- The Search Complexity of Collaborative Swarms Expandi



Swarms and Network Intelligence in Search

Автор: Yaniv Altshuler; Alex Pentland; Alfred M. Bruckste
Название: Swarms and Network Intelligence in Search
ISBN: 3319636022 ISBN-13(EAN): 9783319636023
Издательство: Springer
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Цена: 20962.00 р.
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Описание:

This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones. It discusses frameworks for robustly and near-optimally analyzing flocks of semi-autonomous vehicles designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined “search regions”. It discusses the theoretical limitations of such systems, as well as the trade-offs between the systems’ various economic and operational parameters.
Current UAV systems rely mainly on human operators for the design and adaptation of drones’ flying routes. However, recent technological advances have introduced new systems, comprised of a small number of self-organizing vehicles, manually guided at the swarm level by a human operator.
With the growing complexity o
f such man-supervised architectures, it is becoming increasingly harder to guarantee a pre-defined level of performance. The use of large scale swarms of UAVs as a combat and reconnaissance platform therefore necessitates the development of an efficient optimization mechanism of their utilization, specifically in the design and maintenance of their patrolling routes.
The book is intended for researchers and engineers in the fields of swarms systems and autonomous drones.
Achieving Consensus in Robot Swarms

Автор: Gabriele Valentini
Название: Achieving Consensus in Robot Swarms
ISBN: 3319536087 ISBN-13(EAN): 9783319536088
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book focuses on the design and analysis of collective decision-making strategies for the best-of-n problem.

Multi-Robot Systems: From Swarms to Intelligent Automata, Volume II

Автор: Alan C. Schultz; Lynne E. Parker; Frank E. Schneid
Название: Multi-Robot Systems: From Swarms to Intelligent Automata, Volume II
ISBN: 9048162505 ISBN-13(EAN): 9789048162505
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Proceedings from the 2003 International Workshop on Multi-Robot Systems

Multi-Robot Systems. From Swarms to Intelligent Automata, Volume III

Автор: Lynne E. Parker; Frank E. Schneider; Alan C. Schul
Название: Multi-Robot Systems. From Swarms to Intelligent Automata, Volume III
ISBN: 904816849X ISBN-13(EAN): 9789048168491
Издательство: Springer
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Цена: 33401.00 р.
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Multi-Robot Systems: From Swarms to Intelligent Automata

Автор: Alan C. Schultz; Lynne E. Parker
Название: Multi-Robot Systems: From Swarms to Intelligent Automata
ISBN: 9048160464 ISBN-13(EAN): 9789048160464
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Proceedings from the 2002 NRL Workshop on Multi-Robot Systems

Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring

Автор: Schumann
Название: Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring
ISBN: 331991541X ISBN-13(EAN): 9783319915418
Издательство: Springer
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Цена: 13974.00 р.
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Описание: On the other hand, the problem is that even at the sensing stage each unicellular organism can be regarded as a logic gate in which the number of outputs (means of perceiving signals) greatly exceeds the number of inputs (signals).

Advances in Swarm and Computational Intelligence

Автор: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander G
Название: Advances in Swarm and Computational Intelligence
ISBN: 3319204688 ISBN-13(EAN): 9783319204680
Издательство: Springer
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Цена: 8944.00 р.
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Описание: This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015.

Swarm Intelligence

Автор: Dorigo
Название: Swarm Intelligence
ISBN: 3319444263 ISBN-13(EAN): 9783319444260
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the proceedings of the 10th International Conference on Swarm Intelligence, ANTS 2016, held in Brussels, Belgium, in September 2016. The 18 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 47 submissions.

Innovations in Swarm Intelligence

Автор: Chee Peng Lim; Satchidananda Dehuri
Название: Innovations in Swarm Intelligence
ISBN: 3642042244 ISBN-13(EAN): 9783642042249
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Recent innovations in the field of swarm intelligence are presented in this comprehensive review. Various topics, such as ant colony optimization and complex social swarms are discussed, as well as swarm intelligence models and applications.

Membrane Computing for Distributed Control of Robotic Swarms: Emerging Research and Opportunities

Автор: Florea Andrei George, Buiu Cătălin
Название: Membrane Computing for Distributed Control of Robotic Swarms: Emerging Research and Opportunities
ISBN: 1522522808 ISBN-13(EAN): 9781522522805
Издательство: Mare Nostrum (Eurospan)
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Цена: 23285.00 р.
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Описание: Developments in bio-inspired computation have impacted multiple fields and created opportunities for new applications. In recent years, these techniques have been increasingly integrated into robotic systems. Membrane Computing for Distributed Control of Robotic Swarms: Emerging Research and Opportunities is an innovative reference source for the latest perspectives on biologically-inspired computation techniques for robot design and control. Highlighting a range of pivotal topics such as software engineering, simulation tools, and robotic security, this book is ideally designed for researchers, academics, students, and practitioners interested in the role of membrane computing in mobile robots.

Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring

Автор: Andrew Schumann
Название: Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring
ISBN: 3030082717 ISBN-13(EAN): 9783030082710
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents fundamental theoretical results for designing object-oriented programming languages for controlling swarms. It studies the logics of swarm behaviours. According to behaviourism, all behaviours can be controlled or even managed by stimuli in the environment: attractants (motivational reinforcement) and repellents (motivational punishment). At the same time, there are two main stages in reactions to stimuli: sensing (perceiving signals) and motoring (appropriate direct reactions to signals). This book examines the strict limits of behaviourism from the point of view of symbolic logic and algebraic mathematics: how far can animal behaviours be controlled by the topology of stimuli? On the one hand, we can try to design reversible logic gates in which the number of inputs is the same as the number of outputs. In this case, the behaviouristic stimuli are inputs in swarm computing and appropriate reactions at the motoring stage are its outputs. On the other hand, the problem is that even at the sensing stage each unicellular organism can be regarded as a logic gate in which the number of outputs (means of perceiving signals) greatly exceeds the number of inputs (signals).

Handbook Of Research On Swarm Intelligence In Engineering

Автор: Bhattacharyya & Dutta
Название: Handbook Of Research On Swarm Intelligence In Engineering
ISBN: 1466682914 ISBN-13(EAN): 9781466682917
Издательство: Mare Nostrum (Eurospan)
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Цена: 48787.00 р.
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Описание: Swarm Intelligence has recently emerged as a next-generation methodology belonging to the class of evolutionary computing. As a result, scientists have been able to explain and understand real-life processes and practices that previously remained unexplored.The Handbook of Research on Swarm Intelligence in Engineering presents the latest research being conducted on diverse topics in intelligence technologies such as Swarm Intelligence, Machine Intelligence, Optical Engineering, and Signal Processing with the goal of advancing knowledge and applications in this rapidly evolving field. The enriched interdisciplinary contents of this book will be a subject of interest to the widest forum of faculties, existing research communities, and new research aspirants from a multitude of disciplines and trades.


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