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PubMed · 14736295

Nonmonotonic extrapolation in function learning.

Lewis Bott·Evan Heit
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Abstract

This article reports the results of an experiment addressing extrapolation in function learning, in particular the issue of whether participants can extrapolate in a nonmonotonic manner. Existing models of function learning, including the extrapolation association model of function learning (EXAM; E. L. DeLosh, J. R. Busemeyer, & M. A. McDaniel, 1997), cannot account for this type of extrapolation pattern. We present the results of an experiment in which participants were shown a series of paired stimulus-response magnitudes where the relationship between these 2 dimensions conformed to a cyclic function. Participants were shown to extrapolate from these training data in a nonmonotonic way, contrary to predictions from EXAM. A new model of function learning is presented, which predicts responses more accurately than EXAM.

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CognitionHumansLearningModels, PsychologicalProblem SolvingRandom AllocationJournal ArticleResearch Support, Non-U.S. Gov't

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BibTeXRIS

Lewis Bott, Evan Heit. 2004. Nonmonotonic extrapolation in function learning.. https://doi.org/10.1037/0278-7393.30.1.38

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