Towards a System Dynamics Framework for Human–Machine Learning Decisions : A Case Study of New York Citi Bike

dc.contributor.author	Sankaran, Ganesh
dc.contributor.author	Palomino, Marco A.
dc.contributor.author	Knahl, Martin
dc.contributor.author	Siestrup, Guido
dc.contributor.institution	University of Aberdeen.Computing Science	en
dc.date.accessioned	2024-11-21T14:20:00Z
dc.date.available	2024-11-21T14:20:00Z
dc.date.issued	2024-11-18
dc.description.status	Peer reviewed	en
dc.format.extent	30
dc.format.extent	13637230
dc.identifier	298889195
dc.identifier	1659e168-e87b-4fcb-95de-93dd52930782
dc.identifier	85210244277
dc.identifier.citation	Sankaran, G, Palomino, M A, Knahl, M & Siestrup, G 2024, 'Towards a System Dynamics Framework for Human–Machine Learning Decisions : A Case Study of New York Citi Bike', Applied Sciences, vol. 14, no. 22, 10647. https://doi.org/10.3390/app142210647	en
dc.identifier.doi	10.3390/app142210647
dc.identifier.iss	22	en
dc.identifier.issn	2076-3417
dc.identifier.other	RIS: urn:8429FE890227A17633ABBB0C4EACBA85
dc.identifier.other	ORCID: /0000-0001-7850-416X/work/172467326
dc.identifier.uri	https://hdl.handle.net/2164/24651
dc.identifier.vol	14	en
dc.language.iso	eng
dc.relation.ispartof	Applied Sciences	en
dc.subject	machine learning	en
dc.subject	system dynamics	en
dc.subject	simulation modelling	en
dc.subject	algorithmic decision-making	en
dc.subject	supply chain planning	en
dc.subject	New York City Citi Bike	en
dc.subject	Q Science	en
dc.subject.lcc	Q	en
dc.title	Towards a System Dynamics Framework for Human–Machine Learning Decisions : A Case Study of New York Citi Bike	en
dc.type	Journal article	en

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