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Authors: Marc Drobek 1 ; Wasif Gilani 1 and Danielle Soban 2

Affiliations: 1 SAP UK Ltd., United Kingdom ; 2 Queens University Belfast, United Kingdom

Keyword(s): System Dynamics, Business Dynamics, Parameter Estimation, Equation Formulation, Non-linear Dynamic Equations, Machine Learning, Big Data, Modelling, Classification and Regression Trees.

Abstract: System Dynamics enables modelling and simulation of highly non-linear feedback systems to predict future system behaviour. Parameter estimation and equation formulation are techniques in System Dynamics, used to retrieve the values of parameters or the equations for flows and/or variables. These techniques are crucia for the annotations and thereafter the simulation. This paper critically examines existing and well established approaches in parameter estimation and equation formulation along with their limitations, identifying performance gaps as well as providing directions for potential future research.

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Paper citation in several formats:
Drobek, M.; Gilani, W. and Soban, D. (2013). Parameter Estimation and Equation Formulation in Business Dynamics. In Proceedings of the Third International Symposium on Business Modeling and Software Design - BMSD; ISBN 978-989-8565-56-3, SciTePress, pages 166-176. DOI: 10.5220/0004775101660176

@conference{bmsd13,
author={Marc Drobek. and Wasif Gilani. and Danielle Soban.},
title={Parameter Estimation and Equation Formulation in Business Dynamics},
booktitle={Proceedings of the Third International Symposium on Business Modeling and Software Design - BMSD},
year={2013},
pages={166-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004775101660176},
isbn={978-989-8565-56-3},
}

TY - CONF

JO - Proceedings of the Third International Symposium on Business Modeling and Software Design - BMSD
TI - Parameter Estimation and Equation Formulation in Business Dynamics
SN - 978-989-8565-56-3
AU - Drobek, M.
AU - Gilani, W.
AU - Soban, D.
PY - 2013
SP - 166
EP - 176
DO - 10.5220/0004775101660176
PB - SciTePress

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