Analogy and Relational Reasoning

By Keith J. Holyoak. 2012

374 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/98a2c40bc7af94f9744cfc3a9dab948519e9e29c

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In Cognitive Neuroscience

In Developmental and Educational Psychology

Citations in the corpus

Teaching the Conceptual Structure of Mathematics (2012, background): “…of identifying goal-relevant similarities between what is typically a familiar source analog and a novel, less understood target, and then using the set of correspondences, or mapping, between the two analogs to generate plausible inferences about the latter (see Holyoak, 2012, for a review).”
Analogical Reasoning in the Classroom: Insights from Cognitive Science. (2015, background): “…steps are presumed to take place in analogical reasoning, including paying attention to relevant information, extracting relationships within and across items, and making the appropriate mappings across domains to either generate inferences and/or derive their common principles (Holyoak, 2012).”
Relational inductive bias for physical construction in humans and machines (2018, background): “Indeed, certain aspects of human cognition have previously been studied and modeled in ways that are explicitly relational, such as in analogical reasoning (e.g. Gentner, 1983; Holyoak, 2012).”
Modelling Chemical Reasoning to Predict Reactions (2016, background): “…conditions do not match, the algorithm proposes reagents and catalysts that are functionally similar, for example potassium carbonate instead of caesium carbonate as a base in reaction 3 or copper triﬂate and tert-butyl hydroperoxide (TBHP) instead of benzoquinone (BQ) as the oxidant in reaction 5.”
Large Language Models as Analogical Reasoners (2023, background): “Analogical reasoning is a cognitive process in which humans recall relevant past experiences when facing new challenges (Gentner & Holyoak, 1997; Gentner, 1983; Holyoak, 2012).”
Teaching Mathematics by Comparison: Analog Visibility as a Double-Edged Sword. (2016, neutral): “(Holyoak & Thagard, 1989; Holyoak, 2012).”
Learning Through Case Comparisons: A Meta-Analytic Review (2013, background): “The moderators of lag and principle presentation might also be considered together to investigate the possibility that case comparisons lead learners to only tentative conclusions (Holyoak, 2012) in preparation for future learning (Bransford & Schwartz, 1999).”
SemEval-2012 Task 2: Measuring Degrees of Relational Similarity (2012, background): “When faced with a new situation, we look for an analogous situation in our past experience, and we use analogical inference to transfer information from the past experience (the source domain) to the new situation (the target domain) (Gentner, 1983; Holyoak, 2012).”
Toward an Instructionally Oriented Theory of Example-Based Learning (2014, methodology): “Moreover , if there are multiple ways to map an exam - ple and a problem , the multi - constraint theory ( Holyoak , 2012 ; Holyoak & Thagard , 1997 ) postulates that a good mapping procedure ( i . e .”
Raven's is not a pure measure of general intelligence: Implications for g factor theory and the brief measurement of g (2015, methodology): “Spearman (1946) considered matrices type tests to be the nearest representation of g, as they contained items that required the eduction of relations and correlates to solve, a view shared by others (e.g., Holyoak, 2012; Jensen, 1998; Thorndike, 1986).”
International Entrepreneurship: Exploring the Logic and Utility of Individual Experience through Comparative Reasoning Approaches (2014, background): “While heuristic reasoning is deductive, analogical reasoning may be described as an inductive and iterative process involving inference, and the creation and application of abstract schemas, and is not necessarily goal oriented (Holyoak, 2012).”
Relational Reasoning and Its Manifestations in the Educational Context: a Systematic Review of the Literature (2013, background): “While a review of literature on relational reasoning has recently been published in the field of cognitive neuroscience (Krawczyk 2012) and a handbook chapter on the topic has also recently appeared (Holyoak 2012), the present review differs from these publications in”
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense (2020, background): “Studying FPICU opens a new direction of analogy and relational reasoning [371].”