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Computer Science - Artificial Intelligence | Field-Based Coordination for Pervasive Multiagent Systems

Field-Based Coordination for Pervasive Multiagent Systems

Mamei, Marco, Zambonelli, Franco

2006, XII, 241 p. 127 illus.

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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.

Content Level » Research

Keywords » Agents - DJ - Decentralized Systems - Distributed Systems - Middleware - Multiagent Systems - Pervasive Systems - Scala - modeling - robot

Related subjects » Artificial Intelligence - Communication Networks - Software Engineering

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