Asymmetric reinforcement learning facilitates human inference of transitive relations

dc.contributor.author	Wu, Charley
dc.date.accessioned	2023-01-16T13:25:15Z
dc.date.available	2023-01-16T13:25:15Z
dc.date.issued	2022
dc.identifier.issn	2397-3374
dc.identifier.uri	http://hdl.handle.net/10900/135405
dc.language.iso	en	de_DE
dc.publisher	Nature Portfolio	de_DE
dc.relation.uri	http://dx.doi.org/10.1038/s41562-021-01263-w	de_DE
dc.subject.ddc	150	de_DE
dc.subject.ddc	500	de_DE
dc.subject.ddc	570	de_DE
dc.subject.ddc	610	de_DE
dc.title	Asymmetric reinforcement learning facilitates human inference of transitive relations	de_DE
dc.type	Article	de_DE
utue.quellen.id	20220728000000_02279
utue.publikation.seiten	555	de_DE
utue.personen.roh	Ciranka, Simon
utue.personen.roh	Linde-Domingo, Juan
utue.personen.roh	Padezhki, Ivan
utue.personen.roh	Wicharz, Clara
utue.personen.roh	Wu, Charley M.
utue.personen.roh	Spitzer, Bernhard
dcterms.isPartOf.ZSTitelID	Nature Human Behaviour	de_DE
dcterms.isPartOf.ZS-Issue	4	de_DE
dcterms.isPartOf.ZS-Volume	6	de_DE