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Natural Computing Ser.: Swarm Intelligence : Introduction and Applications by Daniel Merkle (2010, Trade Paperback)
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About this product
Product Identifiers
PublisherSpringer Berlin / Heidelberg
ISBN-103642093434
ISBN-139783642093432
eBay Product ID (ePID)109204590
Product Key Features
Number of PagesX, 286 Pages
LanguageEnglish
Publication NameSwarm Intelligence : Introduction and Applications
Publication Year2010
SubjectComputer Simulation, Intelligence (Ai) & Semantics, Computer Science
TypeTextbook
Subject AreaComputers
AuthorDaniel Merkle
SeriesNatural Computing Ser.
FormatTrade Paperback
Dimensions
Item Weight16.1 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Intended AudienceScholarly & Professional
ReviewsFrom the reviews:"This book, edited by Christian Blum and Daniel Merkle, gives us the state of the art in this new and intriguing field of research, through a collection of eight chapters written by leading experts in the field. … Overall, this book is successful in presenting how naturally inspired design differs from traditional approaches … . an interesting read for researchers, to learn the latest developments in this fascinating field, and also for beginners, to get an introduction to swarm intelligence topics and applications." (Alessandro Berni, ACM Computing Reviews, June, 2009), From the reviews: "This book, edited by Christian Blum and Daniel Merkle, gives us the state of the art in this new and intriguing field of research, through a collection of eight chapters written by leading experts in the field. ... Overall, this book is successful in presenting how naturally inspired design differs from traditional approaches ... . an interesting read for researchers, to learn the latest developments in this fascinating field, and also for beginners, to get an introduction to swarm intelligence topics and applications." (Alessandro Berni, ACM Computing Reviews, June, 2009), From the reviews: "This book, edited by Christian Blum and Daniel Merkle, gives us the state of the art in this new and intriguing field of research, through a collection of eight chapters written by leading experts in the field. … Overall, this book is successful in presenting how naturally inspired design differs from traditional approaches … . an interesting read for researchers, to learn the latest developments in this fascinating field, and also for beginners, to get an introduction to swarm intelligence topics and applications." (Alessandro Berni, ACM Computing Reviews, June, 2009)
Dewey Edition22
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal006.3
Table Of ContentBiological Foundations of Swarm Intelligence.- Swarm Intelligence in Optimization.- Swarm Robotics.- Routing Protocols for Next-Generation Networks Inspired by Collective Behaviors of Insect Societies: An Overview.- Applications.- Evolution, Self-organization and Swarm Robotics.- Particle Swarms for Dynamic Optimization Problems.- An Agent-Based Approach to Self-organized Production.- Organic Computing and Swarm Intelligence.
SynopsisSwarm intelligence is a modern arti'cial intelligence discipline that is c- cerned with the design of multiagent systems with applications, e.g., in - timization and in robotics. The design paradigm for these systems is fun- mentally di'erent from more traditional approaches. Instead of a sophisticated controller that governs the global behavior of the system, the swarm intelligence principle is based on many unsophisticated entities that cooperate in order to exhibit a desired behavior. Inspiration for the design of these systems is taken from the collective behavior of social insects such as ants, termites, bees, and wasps, as well as from the behavior of otheranimalsocietiessuchas'ocksofbirdsorschoolsof'sh.Coloniesofsocial insects have mesmerized researchers for many years. However, the principles that govern their behavior remained unknown for a long time. Even though the single members of these societies are unsophisticated individuals, they are able to achieve complex tasks in cooperation. Coordinated behavior emerges from relatively simple actions or interactions between the individuals., The book's contributing authors are among the top researchers in swarm intelligence. The book is intended to provide an overview of the subject to novices, and to offer researchers an update on interesting recent developments. Introductory chapters deal with the biological foundations, optimization, swarm robotics, and applications in new-generation telecommunication networks, while the second part contains chapters on more specific topics of swarm intelligence research., Swarm intelligence is a modern arti?cial intelligence discipline that is c- cerned with the design of multiagent systems with applications, e.g., in - timization and in robotics. The design paradigm for these systems is fun- mentally di?erent from more traditional approaches. Instead of a sophisticated controller that governs the global behavior of the system, the swarm intelligence principle is based on many unsophisticated entities that cooperate in order to exhibit a desired behavior. Inspiration for the design of these systems is taken from the collective behavior of social insects such as ants, termites, bees, and wasps, as well as from the behavior of otheranimalsocietiessuchas?ocksofbirdsorschoolsof?sh.Coloniesofsocial insects have mesmerized researchers for many years. However, the principles that govern their behavior remained unknown for a long time. Even though the single members of these societies are unsophisticated individuals, they are able to achieve complex tasks in cooperation. Coordinated behavior emerges from relatively simple actions or interactions between the individuals., The laws that govern the behavior of social insect colonies continue to mesmerize researchers. Scientists have applied the behavior of social insects in new approaches to optimization and the control of robots. This field of research is now referred to as swarm intelligence, and it is characterized by a decentralized and probabilistic way of working, the key advantages being robustness and flexibility. This edited book is intended both as an overview of swarm intelligence and as a guide to the most interesting recent developments, and thus will be of interest to both novices and experienced researchers in the field. It successfully combines an overview of swarm intelligence with an up-to-date treatment of the advances in the field.
LC Classification NumberQ334-342
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