Hybrid simulation models – When, Why, How?

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 th...

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Bibliographic Details
Published in:Expert systems with applications 2010, Vol.37 (12), p.7969-7975
Main Authors: Lättilä, Lauri, Hilletofth, Per, Lin, Bishan
Format: Article
Language:English
Subjects:
Agent-Based Modeling and Simulation
Artificial intelligence
Computer simulation
Expert Systems
Hybrid simulation models
Mathematical models
System Dynamics
Technology
Teknik
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Summary: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).
ISSN:0957-4174
1873-6793
1873-6793
DOI:10.1016/j.eswa.2010.04.039