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Mesoscopic Level: A New Representation Level for Large Scale Agent-Based Simulations

Authors:
Laurent Navarro
Vincent Corruble
Fabien Flacher
Jean-Daniel Zucker

Keywords: Agent-based and Multiagent Systems; Model-Based Systems; Large-scale simulations; Level of Detail

Abstract:
Large-scale simulations often use multiple models to find a balance between run-time performance and number of simulated entities. Although these approaches are effective, they do not always offer the needed level of analysis, especially when this one is between the resolutions of the models used. In this paper, we aim at offering a finer resolution in exploring this trade-off by introducing an intermediate level between two given resolutions, which can apply to all agent models and allows a more progressive transition to offer the desired analysis level. We introduce a framework for such a methodology and evaluate it through the extension of an existing approach along two criteria: its impact on the computational resources, and an estimate of the dissimilarity between a simulation with our methodology and one without. Initial experiments show that the consistency is almost maintained while the CPU gain varies from low to significant depending on the context.

Pages: 68 to 73

Copyright: Copyright (c) IARIA, 2012

Publication date: November 18, 2012

Published in: conference

ISSN: 2308-4537

ISBN: 978-1-61208-234-9

Location: Lisbon, Portugal

Dates: from November 18, 2012 to November 23, 2012