Sara Montagna, Andrea Omicini, Danilo Pianini

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 paper, we elaborate on two intuitions: (i) event-based systems and multi-agent systems are amenable of a coherent interpretation within a unique conceptual framework; (ii) 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.

Keywords: multi-agent based simulation; discrete-event simulation; stochastic simulation; Gillespie algorithm; ALCHEMIST

13th International Workshop on Multi-Agent-Based Simulation (MABS 2015), pp. 25-36, May 2015.
Benoit Gaudou, Jaime Simão Sichman (a cura di)

@inproceedings{desmabs-mabs2015,
	Author = {Montagna, Sara and Omicini, Andrea and Pianini, Danilo},
	Booktitle = {13th International Workshop on Multi-Agent-Based Simulation (MABS 2015)},
	Editor = {Gaudou, Benoit and Sichman, Jaime Sim{\~a}o},
	Keywords = {multi-agent based simulation; discrete-event simulation; stochastic simulation; Gillespie algorithm; ALCHEMIST},
	Location = {Istanbul, Turkey},
	Month = may,
	Pages = {25--36},
	Title = {Extending the Gillespie's Stochastic Simulation Algorithm for Integrating Discrete-Event and Multi-Agent Based Simulation},
	Year = 2015}