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dc.contributor.authorAntosz, Patrycja
dc.contributor.authorSzczepanska, Timo
dc.contributor.authorBouman, Loes
dc.contributor.authorJ. Gareth, Polhill
dc.contributor.authorJager, Wander
dc.date.accessioned2022-08-05T10:56:30Z
dc.date.available2022-08-05T10:56:30Z
dc.date.issued2022-03-25
dc.description.abstractEven though agent-based modelling is seen as committing to a mechanistic, generative type of causation, the methodology allows for representing many other types of causal explanations. Agent-based models are capable of integrating diverse causal relationships into coherent causal mechanisms. They mirror the crucial, multi-level component of emergent phenomena and recognize the important role of single-level causes without limiting the scope of the offered explana- tion. Implementing various types of causal relationships to complement the generative causation offers insight into how a multi-level phenomenon happens and allows for building more complete causal explanations. The capacity to work with multiple approaches to causality is crucial when tackling the complex problems of the modern world.en_US
dc.identifier.citationAntosz, Szczepanska, Bouman, J. Gareth, Jager. Sensemaking of causality in agent-based models. International Journal of Social Research Methodology: Theory and Practice. 2022:1-12en_US
dc.identifier.cristinIDFRIDAID 2013187
dc.identifier.doi10.1080/13645579.2022.2049510
dc.identifier.issn1364-5579
dc.identifier.issn1464-5300
dc.identifier.urihttps://hdl.handle.net/10037/25984
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.relation.ispartofSzczepanska, T. (2023). Foundations of GAM Research. Methodological Guidelines for Designing and Conducting Research that Combines Games and Agent-based Models. (Doctoral thesis). <a href=https://hdl.handle.net/10037/31866>https://hdl.handle.net/10037/31866</a>
dc.relation.journalInternational Journal of Social Research Methodology: Theory and Practice
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/763912/Norway/Energy Efficiency and Sustainability/SMARTEES/en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.titleSensemaking of causality in agent-based modelsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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