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An approach to agent-based modeling with Modelica

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dc.contributor.authorBergero, Federico
dc.contributor.authorSanz Prat, Víctorino
dc.contributor.authorUrquía Moraleda, Alfonso
dc.date.accessioned2024-05-20T11:35:14Z
dc.date.available2024-05-20T11:35:14Z
dc.date.issued2018-04
dc.description.abstractModelica is a free, general-purpose object-oriented equation-based modeling language. It is mainly designed to describe systems using the physical modeling approach. Our proposal to describe Agent-Based Models (ABMs) in Modelica is discussed in this manuscript. The contribution of the presented work is twofold: firstly, to analyze the conceptual requirements to describe ABMs in Modelica; and secondly, to develop a prototype implementation following the previous analysis. Agents are described using a message passing communication mechanism previously proposed by the authors. Additional extensions to this mechanism are proposed in order to describe agent interactions. The environment, where the agents live, is described as a two-dimensional cellular automaton. A new Modelica library, named ABMLib, developed to support this functionality, is presented. A prototype implementation of the message passing mechanism and ABMLib models has been performed to demonstrate the functionality of the library as a proof-of-concept for this proposal. The library is freely available at www.euclides.dia.uned.es/vsanz.en
dc.description.versionversión final
dc.identifier.doihttp://doi.org/10.1016/j.simpat.2017.12.012
dc.identifier.issn1569-190X
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12265
dc.journal.titleSimulation Modelling Practice and Theory
dc.journal.volume83
dc.language.isoen
dc.publisherElsevier
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInformática y Automática
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject.keywordsAgent-based model
dc.subject.keywordsModelica
dc.subject.keywordsHybrid systems
dc.titleAn approach to agent-based modeling with Modelicaes
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
relation.isAuthorOfPublicationf10a904e-0e0f-40b7-a520-ba235227425f
relation.isAuthorOfPublication7a2858d4-5c0c-4bd3-b625-d84da88ef395
relation.isAuthorOfPublication.latestForDiscoveryf10a904e-0e0f-40b7-a520-ba235227425f
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