Extending the Gillespie's Stochastic Simulation Algorithm for Integrating Discrete-Event and Multi-Agent Based Simulation

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Benoit Gaudou, Jaime Simão Sichman (eds.)
Multi-Agent Based Simulation XVI. International Workshop, MABS 2015, Istanbul, Turkey, May 5, 2015, Revised Selected Papers, chapter 1, pages 3-18
Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence) 9568
15 March 2016

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

keywordsALCHEMIST, Discrete-event simulation, Gillespie algorithm, Multi-agent based simulation, Stochastic simulation
origin event
worldMABS 2015@AAMAS 2015
journal or series
book Lecture Notes in Computer Science (LNCS)