Sara Montagna
Andrea Omicini
Danilo Pianini
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.
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Index Terms
- A Gillespie-based Computational Model for Integrating Event-driven and Multi-Agent Based Simulation: Extended Abstract
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