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Verfasst von:Said, Nadia [VerfasserIn]   i
 Fischer, Helen [VerfasserIn]   i
Titel:Extrapolation accuracy underestimates rule learning
Titelzusatz:evidence from the function-learning paradigm
Verf.angabe:Nadia Said, Helen Fischer
E-Jahr:2021
Jahr:25 June 2021
Umfang:20 S.
Teil:volume:218
 year:2021
 month:07
 elocationid:103356
 pages:1-20
 extent:20
Fussnoten:Gesehen am 23.09.2021
Titel Quelle:Enthalten in: Acta psychologica
Ort Quelle:Amsterdam : Elsevier, 1936
Jahr Quelle:2021
Band/Heft Quelle:218(2021) vom: Juli, Artikel-ID 103356, Seite 1-20
ISSN Quelle:1873-6297
Abstract:Understanding the development of non-linear processes such as economic or population growth is an important prerequisite for informed decisions in those areas. In the function-learning paradigm, people's understanding of the function rule that underlies the to-be predicted process is typically measured by means of extrapolation accuracy. Here we argue, however, that even though accurate extrapolation necessitates rule-learning, the reverse does not necessarily hold: Inaccurate extrapolation does not exclude rule-learning. Experiment 1 shows that more than one third of participants who would be classified as “exemplar-based learners” based on their extrapolation accuracy were able to identify the correct function shape and slope in a rule-selection paradigm, demonstrating accurate understanding of the function rule. Experiment 2 shows that higher proportions of rule learning than ruleapplication in the function-learning paradigm is not due to (i) higher a priori probabilities to guess the correct rule in the rule-selection paradigm; nor is it due to (ii) a lack of simultaneous access to all function values in the function-learning paradigm. We conclude that rule application is not tantamount to rule-learning, and that assessing rule xlearning via extrapolation accuracy underestimates the proportion of rule learners in function-learning experiments.
DOI:doi:10.1016/j.actpsy.2021.103356
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: https://doi.org/10.1016/j.actpsy.2021.103356
 Volltext: https://www.sciencedirect.com/science/article/pii/S0001691821001062
 DOI: https://doi.org/10.1016/j.actpsy.2021.103356
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Function-learning
 Non-linear processes
 Rule-based vs exemplar-based learners
 Understanding
K10plus-PPN:1771732644
Verknüpfungen:→ Zeitschrift

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