Sara Montagna, Mirko Viroli, Danilo Pianini

This paper grounds on the SAPERE project (Self-Aware PERvasive Service Ecosystems), which aims at proposing a multi-agent framework for pervasive computing, based on the idea of making each agent (service, device, human) manifest its existence in the ecosystem by a Live Semantic Annotation (LSA), and of coordinating agent activities by a small and fixed set of so-called eco-laws, which are sort of chemical-like reactions evolving the distributed population of LSAs. System dynamics in SAPERE is complex because of openness and due to the self-* requirements imposed by the pervasive computing setting: a simulation framework is hence needed for what-if analysis prior to deployment. In this paper we present a prototype simulator which - due to the role of chemical-like character of eco-laws - is based on a variation of an existing SSA (Stochastic Simulation Algorithm), tailored to the specific features of SAPERE, including dynamicity of network topology and pattern-based application of eco-laws. The simulator is tested on a crowd steering scenario where groups are guided, through public or private displays, towards the preferential destination and by emergently circumventing crowded regions.

Federated Conference on Computer Science and Information Systems in Szczecin, Poland (FedCSIS 2011)
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