Cargando…

Collectives and the design of complex systems

Increasingly powerful computers are making possible distributed systems comprised of many adaptive and self-motivated computational agents. Such systems, when distinguished by system-level performance criteria, are known as "collectives." Collectives and the Design of Complex Systems lays...

Descripción completa

Detalles Bibliográficos
Autores principales: Tumer, Kagan, Wolpert, David
Lenguaje:eng
Publicado: Springer 2004
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4419-8909-3
http://cds.cern.ch/record/2006111
_version_ 1780946247528480768
author Tumer, Kagan
Wolpert, David
author_facet Tumer, Kagan
Wolpert, David
author_sort Tumer, Kagan
collection CERN
description Increasingly powerful computers are making possible distributed systems comprised of many adaptive and self-motivated computational agents. Such systems, when distinguished by system-level performance criteria, are known as "collectives." Collectives and the Design of Complex Systems lays the foundation for a science of collectives and describes how to design them for optimal performance. An introductory survey chapter is followed by descriptions of information-processing problems that can only be solved by the joint actions of large communities of computers, each running its own complex, decentralized machine-learning algorithm. Subsequent chapters analyze the dynamics and structures of collectives, as well as address economic, model-free, and control-theory approaches to designing complex systems. The work assumes a modest understanding of basic statistics and calculus. Topics and Features: Introduces the burgeoning science of collectives and its practical applications in a single useful volume Combines approaches from known researchers in the physics, economics, game theory, biology, and artificial intelligence (A.I.) communities Analyzes the role of information transmission in collectives, such as in the minority game, specific game theory scenarios, and computational ecologies Presents a broad view of state-of-the-art techniques and developments in the field Describes the benefits and promise of collectives-based design of systems, and explores recent challenges faced by researchers Highlights the interdisciplinary value to studying and using collectives Provides a comprehensive subject index and chapter-ending bibliographies With an accessible style that integrates key theoretical principles with applications in real-world scenarios, this unique monograph surveys the latest research on the dynamics of collectives, their A.I.-related aspects, and critical design issues pertaining to them. Computer scientists, computer engineers, and practitioners, researchers, and graduate students with an interest in this new and growing field will find the book an authoritative introduction and resource.
id cern-2006111
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2004
publisher Springer
record_format invenio
spelling cern-20061112021-04-21T20:24:04Zdoi:10.1007/978-1-4419-8909-3http://cds.cern.ch/record/2006111engTumer, KaganWolpert, DavidCollectives and the design of complex systemsMathematical Physics and Mathematics Increasingly powerful computers are making possible distributed systems comprised of many adaptive and self-motivated computational agents. Such systems, when distinguished by system-level performance criteria, are known as "collectives." Collectives and the Design of Complex Systems lays the foundation for a science of collectives and describes how to design them for optimal performance. An introductory survey chapter is followed by descriptions of information-processing problems that can only be solved by the joint actions of large communities of computers, each running its own complex, decentralized machine-learning algorithm. Subsequent chapters analyze the dynamics and structures of collectives, as well as address economic, model-free, and control-theory approaches to designing complex systems. The work assumes a modest understanding of basic statistics and calculus. Topics and Features: Introduces the burgeoning science of collectives and its practical applications in a single useful volume Combines approaches from known researchers in the physics, economics, game theory, biology, and artificial intelligence (A.I.) communities Analyzes the role of information transmission in collectives, such as in the minority game, specific game theory scenarios, and computational ecologies Presents a broad view of state-of-the-art techniques and developments in the field Describes the benefits and promise of collectives-based design of systems, and explores recent challenges faced by researchers Highlights the interdisciplinary value to studying and using collectives Provides a comprehensive subject index and chapter-ending bibliographies With an accessible style that integrates key theoretical principles with applications in real-world scenarios, this unique monograph surveys the latest research on the dynamics of collectives, their A.I.-related aspects, and critical design issues pertaining to them. Computer scientists, computer engineers, and practitioners, researchers, and graduate students with an interest in this new and growing field will find the book an authoritative introduction and resource.Springeroai:cds.cern.ch:20061112004
spellingShingle Mathematical Physics and Mathematics
Tumer, Kagan
Wolpert, David
Collectives and the design of complex systems
title Collectives and the design of complex systems
title_full Collectives and the design of complex systems
title_fullStr Collectives and the design of complex systems
title_full_unstemmed Collectives and the design of complex systems
title_short Collectives and the design of complex systems
title_sort collectives and the design of complex systems
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-1-4419-8909-3
http://cds.cern.ch/record/2006111
work_keys_str_mv AT tumerkagan collectivesandthedesignofcomplexsystems
AT wolpertdavid collectivesandthedesignofcomplexsystems