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dc.contributor.authorHalina, Marta
dc.date.accessioned2022-05-25T23:30:54Z
dc.date.available2022-05-25T23:30:54Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337491
dc.description.abstractA common strategy in comparative cognition is to require that one reject associative learning as an explanation for behavior before concluding that an organism is capable of causal reasoning. In this paper, I argue that standard causal-reasoning tasks can be explained by a powerful form of associative learning: unlimited associative learning (UAL). The lesson, however, is not that researchers should conduct more studies to reject UAL, but that they should instead focus on 1) enriching the cognitive hypothesis space and 2) testing a broader range of information processing patterns—errors, biases and limits, rather than successful problem solving alone.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleUnlimited Associative Learning as a Null Hypothesis
dc.typeArticle
dc.publisher.departmentDepartment of History And Philosophy of Science
dc.date.updated2022-05-25T08:54:58Z
prism.publicationNamePhilosophy of Science
dc.identifier.doi10.17863/CAM.84905
dcterms.dateAccepted2022-05-02
rioxxterms.versionAM
dc.contributor.orcidHalina, Marta [0000-0002-3482-4281]
rioxxterms.typeJournal Article/Review
cam.issuedOnline2022-05-25
cam.orpheus.success2022-05-25 - Embargo set during processing via Fast-track
cam.depositDate2022-05-25
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
rioxxterms.freetoread.startdate2022-11-25


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial-NoDerivatives 4.0 International