Field-Based Coordination for Pervasive Multiagent Systems [electronic resource] /by Marco Mamei, Franco Zambonelli.
by Mamei, Marco [author.]; Zambonelli, Franco [author.]; SpringerLink (Online service).
Material type:
BookSeries: Springer Series in Agent Technology: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.Description: XII, 241 p. 127 illus. online resource.ISBN: 9783540279693.Subject(s): Computer science | Computer Communication Networks | Software engineering | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Computer Communication Networks | Software EngineeringDDC classification: 006.3 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| TJ210.2-211.495 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | Q334-342 (Browse shelf) | Available |
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.
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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