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Field-Based Coordination for Pervasive Multiagent Systems

More and more, software systems involve autonomous and distributed software components that have to execute and interact in open and dynamic environments, such as in pervasive, autonomous, and mobile applications. The requirements with respect to dynamics, openness, scalability, and decentralization...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Mamei, Marco (Autor), Zambonelli, Franco (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Springer Series on Agent Technology,
Temas:
Acceso en línea:Texto Completo

MARC

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300 |a XII, 242 p. 127 illus.  |b online resource. 
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490 1 |a Springer Series on Agent Technology,  |x 1866-7333 
505 0 |a The Scenario -- Upcoming Information Technology Scenarios -- The Role of Coordination and the Inadequacy of Current Approaches -- Modeling Field-based Coordination -- Field-Based Coordination -- Co-Fields and Motion Coordination -- Implementing Field-based Coordination -- Commercial Off-The-Shelf Implementations -- Tuples On The Air (TOTA) -- Advanced Applications -- Content-Based Information Access and Coordination -- Self-Assembly in Mobile and Modular Robots -- The Cloak of Invisibility -- Conclusions. 
520 |a More and more, software systems involve autonomous and distributed software components that have to execute and interact in open and dynamic environments, such as in pervasive, autonomous, and mobile applications. The requirements with respect to dynamics, openness, scalability, and decentralization call for new approaches to software design and development, capable of supporting spontaneous configuration, tolerating partial failures, or arranging adaptive reorganization of the whole system. Inspired by the behaviour of complex natural systems, scientists and engineers have started to adjust their mechanisms and techniques for self-organization and adaption to changing environments. In line with these considerations, Mamei and Zambonelli propose an interaction model inspired by the way masses and particles in our universe move and self-organize according to contextual information represented by gravitational and electromagnetic fields. The key idea is to have the components' actions driven by computational force fields, generated by the components themselves or by some infrastructures, and propagated across the environment. Together with its supporting middleware infrastructure - available with additional information under http://www.agentgroup.unimore.it - this model can serve as the basis for a general purpose and widely applicable approach for the design and development of adaptive distributed applications. 
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