In this article, we focus on the role of the environment in a self-organising system and how to apply self-organisation principles to build a multi-agent system (MAS) environment. We discuss a design methodology for complex systems with emergent properties: our approach mainly relies on the use of formal analysis tools and languages in order to provide better guarantees of effective global system behaviour. In order to explain the details of the methodology, we analyse a case of dynamic resource allocation strategy for a MAS environment.
On engineering selforganizing environments: Stochastic methods for dynamic resource allocation / Luca Gardelli; Mirko Viroli; Matteo Casadei. - STAMPA. - (2006), pp. 96-101. (Intervento presentato al convegno 3rd International Workshop “Environments for Multi-Agent Systems” (E4MAS 2006), 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006) tenutosi a Hakodate, Japan nel 8 maggio 2006).
On engineering selforganizing environments: Stochastic methods for dynamic resource allocation
GARDELLI, LUCA;VIROLI, MIRKO;CASADEI, MATTEO
2006
Abstract
In this article, we focus on the role of the environment in a self-organising system and how to apply self-organisation principles to build a multi-agent system (MAS) environment. We discuss a design methodology for complex systems with emergent properties: our approach mainly relies on the use of formal analysis tools and languages in order to provide better guarantees of effective global system behaviour. In order to explain the details of the methodology, we analyse a case of dynamic resource allocation strategy for a MAS environment.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
