Field-Based Coordination for Pervasive Multiagent Systems

  • Marco Mamei
  • Franco Zambonelli

Part of the Springer Series in Agent Technology book series (SSAT)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Introduction

    1. Pages 1-5
  3. The Scenario

  4. Modeling Field-based Coordination

    1. Front Matter
      Pages 43-43
  5. Implementing Field-based Coordination

    1. Front Matter
      Pages 107-107
    2. Pages 119-155
  6. Advanced Applications

  7. Back Matter
    Pages 229-242

About this book


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 – this model can serve as the basis for a general purpose and widely applicable approach for the design and development of adaptive distributed applications.


Agents DJ Decentralized Systems Distributed Systems Middleware Multiagent Systems Pervasive Systems Scala modeling robot

Authors and affiliations

  • Marco Mamei
    • 1
  • Franco Zambonelli
    • 1
  1. 1.Dipartimento di Scienze e Metodi dell’IngegneriaUniversità di Modena e Reggio EmiliaReggio EmiliaItaly

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-27968-6
  • Online ISBN 978-3-540-27969-3
  • Series Print ISSN 1619-7119
  • Buy this book on publisher's site