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.
A Gillespie-based Computational Model for Integrating Event-driven and Multi-Agent Based Simulation / Sara Montagna; Andrea Omicini; Danilo Pianini. - STAMPA. - (2015), pp. 1763-1764. (Intervento presentato al convegno 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) tenutosi a Istanbul, Turkey nel 4-8 May 2015).
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.
