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Running agent-based models on a discrete-event simulator

Onggo, B S S (2010) Running agent-based models on a discrete-event simulator. In: European Simulation and Modelling Conference 2010. Eurosis-ETI, pp. 51-55. ISBN 978-90-77381-57-1

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One of the main obstacles hindering the use of large-scale agent-based simulation in practice is its scalability. The ability to run realistic and complex agent-based models is desirable to provide empirically and practically useful results. One of the suggested solutions is to run the agent-based models on top of a scalable parallel discrete-event simulation engine. This proposal raises a question whether an equivalent discrete-event model can be built for any agent-based model. This paper proves that an equivalent discrete-event model can be found for any agent-based model that conforms to a given specification. I show that a translator can be built to convert the agent-based model into an equivalent discrete-event model automatically and transparently. The advantage of this approach is that modellers do not need to change their modelling paradigm and at the same time a highly scalable parallel discrete-event simulator can be used to run the model.

Item Type: Contribution in Book/Report/Proceedings
Subjects: H Social Sciences > HB Economic Theory
Departments: Lancaster University Management School > Management Science
ID Code: 47597
Deposited By: ep_importer_pure
Deposited On: 11 Jul 2011 21:19
Refereed?: No
Published?: Published
Last Modified: 10 Apr 2018 02:13
Identification Number:

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