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Analogical reasoning during hypothesis generation

The effects of object and domain similarities on access and transfer

Bibliographic Data

ID21689072
AuthorsLeandro E Rivas (0009-0008-0950-7760, Department of Psychology, University of Comahue, corresponding author), Máximo Trench (0000-0001-5341-4846, Department of Psychology, University of Comahue)
Year2025
Volume31
Issue2
Pages158-182
Publication date2025-04-03
Open AccessNo
TypeARTICLE
VenueThinking & Reasoning (JOURNAL)
Journal identifiersISSN: 1354-6783 • E-ISSN: 1464-0708
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13546783.2024.2409467
OpenAlexW4403102105
LanguageEN
Citations received1
References cited37

In two experiments on analogical hypothesis generation, we factorially manipulated the presence of domain and object similarities between a base situation and a target phenomenon, and assessed their effects on the transfer of the source’s explanatory structure before and after an indication to use the base analog as a source for analogical explanations. The absence of any kind of surface similarity led to very low rates of spontaneous transfer. In both experiments, however, either kind of surface similarity sufficed to enhance the spontaneous transfer of the base explanation during the formulation of plausible hypotheses for the target. The transfer advantage of object and domain similarity cannot be attributed to the effect of these variables on post-access processes, since experimental conditions did not differ with regard to the ability to transfer the base explanation upon explicit request. The effect of domain similarity on spontaneous analogical explanation constitutes a relevant finding, especially given the lack of attention received by this dimension of similarity in behavioural studies and computer simulations of analogical retrieval

Analogical reasoning · Analogy · Cognition · Cognitive psychology · Cognitive science · Domain specificity · Epistemology · Advanced Text Analysis Techniques · Child and Animal Learning Development · Computer Science · Mathematics · Neuroscience · Philosophy · Psychology · Visual and Cognitive Learning Processes · Artificial Intelligence

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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