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Controllling Simulation Experiment Design for Agent-Based Models Using Tree Representation of Parameter Space Cover

Controllling Simulation Experiment Design for Agent-Based Models Using Tree Representation of Parameter Space

Open Access
|Dec 2013

Abstract

An important aspect of the simulation modelling process is sensitivity analysis. In this process, agent-based simulations often require analysis of structurally different parameter specifications - the parameters can be represented as objects and the object-oriented simulation configuration leads to nesting of simulation parameters. The nested parameters are naturally represented as a tree rather than a flat structure. The standard tools supporting multi-agent simulations only allow only the representation of the parameter space as a Cartesian product of possible parameter values. Consequently, their application for the required tree representation is limited. In this paper an approach to tree parameter space representation is introduced with an XML-based language. Furthermore, we propose a set of tools that allows one to manage parameterization of the simulation experiment independently of the simulation model.

DOI: https://doi.org/10.2478/fcds-2013-0014 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
Language: English
Page range: 277 - 298
Published on: Dec 4, 2013
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2013 Przemysław Szufel, Bogumił Kamiński, Piotr Wojewnik, published by Poznan University of Technology
This work is licensed under the Creative Commons License.