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Title Designing Self-organising {MAS} Environments: The Collective Sort Case
Authors Gardelli, Luca and Viroli, Mirko and Casadei, Matteo and Omicini, Andrea
Type In Article Collection/Post-Proceedings
Booktitle Environments for Multi-Agent Systems III
Editor Weyns, Danny and Parunak, H. Van Dyke and Michel, Fabien
Pages 254--271
Series LNCS (LNAI)
Publisher Springer
Volume 4389
Year 2007
ISBN 978-3-540-71102-5
ISSN 0302-9743
DOI 10.1007/978-3-540-71103-2_7
Note 3rd International Workshop (E4MAS 2006), Hakodate, Japan, 8 May 2006. Selected Revised and Invited Papers
Abstract Self-organisation is being recognised as an effective conceptual framework to deal with the complexity inherent to modern artificial systems. In this article, we explore the applicability of self-organisation principles to the development of multi-agent system (MAS) environments. First, we discuss a methodological approach for the engineering of complex systems, which features emergent properties: this is based on formal modelling and stochastic simulation, used to analyse global system dynamics and tune system parameters at the
early stages of design. Then, as a suitable target for this approach, we describe an architecture for self-organising environments featuring
artifacts and environmental agents as fundamental entities. As an example, we analyse a MAS distributed environment made of tuple spaces, where environmental agents are assigned the task of moving tuples across tuples spaces in background and according to local criteria, making complete clustering an emergent property achieved through selforganisation.
 
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Luca Gardelli, PhD @ Alma Mater Studiorum-Università di Bologna