Based on two intuitions – (i) event-driven systems and multi-agent systems are two computational paradigms that are amenable of a coherent interpretation within a unique conceptual framework; (ii) integrating the two simulation approaches can lead to a more expressive and powerful simulation framework – we propose a computational model integrating Discrete-Event Simulation (DES) and Multi-Agent Based Simulation (MABS), based on an extension of the Gillespie’s stochastic simulation algorithm.
Sara Montagna, Andrea Omicini, Danilo Pianini (2015). A Gillespie-based Computational Model for Integrating Event-driven and Multi-Agent Based Simulation. New York : ACM Press.
A Gillespie-based Computational Model for Integrating Event-driven and Multi-Agent Based Simulation
MONTAGNA, SARA;OMICINI, ANDREA;PIANINI, DANILO
2015
Abstract
Based on two intuitions – (i) event-driven systems and multi-agent systems are two computational paradigms that are amenable of a coherent interpretation within a unique conceptual framework; (ii) integrating the two simulation approaches can lead to a more expressive and powerful simulation framework – we propose a computational model integrating Discrete-Event Simulation (DES) and Multi-Agent Based Simulation (MABS), based on an extension of the Gillespie’s stochastic simulation algorithm.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
