A Gillespie-based Computational Model for Integrating Event-driven and Multi-Agent Based Simulation


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Sara Montagna, Andrea Omicini, Danilo Pianini

Rafael H. Bordini, Edith Elkind, Gerhard Weiss, Pınar Yolum (eds.)
“14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015)”, pages 1763-1764
International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, USA
4-8 May 2015

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.

(keywords) Multi-agent based simulation, event-driven simulation, stochastic simulation, Gillespie algorithm, ALCHEMIST

Extended Abstract

Events

  • 14th International Conference on Autonomous Agents & Multiagent Systems (AAMAS 2015) — 04/05/2015–08/05/2015

Publication

— authors

— editors

Rafael H. Bordini, Edith Elkind, Gerhard Weiss, Pınar Yolum

— status

published

— sort

paper in proceedings

— publication date

4-8 May 2015

— volume

14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015)

— pages

1763-1764

— address

Richland, SC, USA

— location

Istanbul, Turkey

URLs

original page  |  original PDF

identifiers

— ACM

2773424

— IRIS

11585/480588

— Scopus

2-s2.0-84944707031

— WoS / ISI

000461455000234

— print ISBN

978-1-4503-3413-6

notes

— note

Extended Abstract

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