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Hybrid simulation models - When, Why, How?
Lappeenranta University of Technology.
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
Louisiana State University in Shrevenport.
2010 (English)In: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 37, no 12, p. 7969-7975Article in journal (Refereed) Published
Abstract [en]

Agent-Based Modeling and Simulation (ABMS) and System Dynamics (SD) are two popular simulation paradigms. Despite their common goal, these simulation methods are rarely combined and there has been a very low amount of joint research in these fields. However, it seems to be advantageous to combine them to create more accurate hybrid models. In this research, the possible ways to combine these methods are studied. The authors have found five different situations where it will be useful to combine these methods. All of them have already been used in earlier studies, so modelers should use them as possible interfaces to combine the methodologies. By using hybrid simulation models it is possible to create more accurate and reliable Expert Systems (ES).

Place, publisher, year, edition, pages
Elsevier, 2010. Vol. 37, no 12, p. 7969-7975
Keywords [en]
System Dynamics, Agent-Based Modeling and Simulation, Hybrid simulation models, Artificial intelligence, Expert Systems
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-4569DOI: 10.1016/j.eswa.2010.04.039ISI: 000281339900065Scopus ID: 2-s2.0-77957837050OAI: oai:DiVA.org:his-4569DiVA, id: diva2:388324
Available from: 2011-01-17 Created: 2011-01-17 Last updated: 2017-12-11Bibliographically approved

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Hilletofth, Per

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