Representing absence of evidence: why algorithms and representations matter in models of language and cognition

Broeker, Franziska; Ramscar, Michael

dc.contributor.author	Bröker, Franziska
dc.contributor.author	Ramscar, Michael
dc.date.accessioned	2021-04-08T10:45:56Z
dc.date.available	2021-04-08T10:45:56Z
dc.date.issued	2020
dc.identifier.issn	2327-3801
dc.identifier.uri	http://hdl.handle.net/10900/114099
dc.language.iso	en	de_DE
dc.publisher	Routledge Journals	de_DE
dc.relation.uri	http://dx.doi.org/10.1080/23273798.2020.1862257	de_DE
dc.subject.ddc	150	de_DE
dc.subject.ddc	570	de_DE
dc.subject.ddc	610	de_DE
dc.subject.ddc	800	de_DE
dc.title	Representing absence of evidence: why algorithms and representations matter in models of language and cognition	de_DE
dc.type	Article	de_DE
utue.quellen.id	20210304112512_00051
utue.personen.roh	Broeker, Franziska
utue.personen.roh	Ramscar, Michael
dcterms.isPartOf.ZSTitelID	Language Cognition and Neuroscience	de_DE
dcterms.isPartOf.ZS-Volume	38. 2023, Issue 4	de_DE
utue.fakultaet	05 Philosophische Fakultät	de_DE