Zobrazit minimální záznam

dc.contributor.authorBischi, Gian Italo
dc.contributor.authorLamantia, Fabio
dc.contributor.authorScardamaglia, Bruno
dc.date.accessioned2020-11-03T08:48:19Z
dc.date.available2020-11-03T08:48:19Z
dc.date.issued2020
dc.identifier.citationNonlinear Dynamics. 2020.cs
dc.identifier.issn0924-090X
dc.identifier.issn1573-269X
dc.identifier.urihttp://hdl.handle.net/10084/142383
dc.description.abstractIn this paper, we propose a unitary formulation for evolutionary oligopoly models with memory. In particular, we consider behavioral rules that are stationary at the Nash equilibria so that we can study the stability of the oligopolistic model with memory with generic strategies for determining quantities. Although the introduction of memory does not affect the local stability properties of equilibria, we show how the presence of memory impacts the global dynamics of the system and how the question about the role of memory does not always provide a clear answer in terms of model complexity.cs
dc.language.isoencs
dc.publisherSpringer Naturecs
dc.relation.ispartofseriesNonlinear Dynamicscs
dc.relation.urihttp://doi.org/10.1007/s11071-020-05827-9cs
dc.rightsCopyright © 2020, The Author(s)cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectevolutionary oligopoliescs
dc.subjectmemorycs
dc.subjectbehavioral rulescs
dc.subjectcomplex dynamicscs
dc.titleOn the influence of memory on complex dynamics of evolutionary oligopoly modelscs
dc.typearticlecs
dc.identifier.doi10.1007/s11071-020-05827-9
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.identifier.wos000570842800001


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Zobrazit minimální záznam

Copyright © 2020, The Author(s)
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