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Whereas Multi-Agent Based Simulation (MABS) is emerging as a reference approach for complex system simulation, the event-driven approach of Discrete-Event Simulation (DES) is the most used approach in the simulation mainstream.
In this talk, we elaborate on two intuitions: 1) event-based systems and multi-agent systems are amenable of a coherent interpretation within a unique conceptual framework; 2) integrating MABS and DES can lead to a more expressive and powerful simulation framework.
Accordingly, we propose a computational model integrating DES and MABS, based on an extension of the Gillespie's stochastic simulation algorithm.
Then, we discuss a case of a simulation platform (Alchemist) specifically targeted at such a kind of complex models, and show an example of urban crowd steering simulation.