Online-Ressource | |
Verfasst von: | Said, Nadia [VerfasserIn] |
Fischer, Helen [VerfasserIn] | |
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 |