2014Behavioral and Brain SciencesRequires access

Refining and expanding the proposal of an inherence heuristic in human understanding

Andrei Cimpian, Erika Salomon

Open publisher page 29 citations

Abstract

Abstract The inherence heuristic is a cognitive process that supplies quick and effortless explanations for a wide variety of observations. Due in part to biases in memory retrieval, this heuristic tends to overproduce explanations that appeal to the inherent features of the entities in the observations being explained (hence the heuristic's name). In this response, we use the commentators' input to clarify, refine, and expand the inherence heuristic model. The end result is a piece that complements the target article, amplifying its theoretical contribution.

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What this paper is about

Abstract The inherence heuristic is a cognitive process that supplies quick and effortless explanations for a wide variety of observations. Due in part to biases in memory retrieval, this heuristic tends to overproduce explanations that appeal to the inherent features of the entities in the observations being explained (hence the heuristic's name). In this response, we use the commentators' input to clarify, refine, and expand the inherence heuristic model. The end result is a piece that complements the target article, amplifying its theoretical contribution.

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OpenAlex reports 29 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Abstract The inherence heuristic is a cognitive process that supplies quick and effortless explanations for a wide variety of observations. Due in part to biases in memory retrieval, this heuristic tends to overproduce explanations that appeal to the inherent features of the entities in the observations being explained (hence the heuristic's name). In this response, we use the commentators' input to clarify, refine, and expand the inherence heuristic model. The end result is a piece that complements the target article, amplifying its theoretical contribution.

Key concepts: Heuristic, Variety (cybernetics), Appeal, Process (computing), Computer science, Cognitive psychology, Cognition, Cognitive science

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