Memory‐Based Simple Heuristics as Attribute Substitution: Competitive Tests of Binary Choice Inference Models

Cognitive Science 41 (S5):1093-1118 (2017)

Abstract
Some researchers on binary choice inference have argued that people make inferences based on simple heuristics, such as recognition, fluency, or familiarity. Others have argued that people make inferences based on available knowledge. To examine the boundary between heuristic and knowledge usage, we examine binary choice inference processes in terms of attribute substitution in heuristic use. In this framework, it is predicted that people will rely on heuristic or knowledge-based inference depending on the subjective difficulty of the inference task. We conducted competitive tests of binary choice inference models representing simple heuristics and knowledge-based inference models. We found that a simple heuristic model explained inference patterns for subjectively difficult inference tasks, and that a knowledge-based inference model explained subjectively easy inference tasks. These results were consistent with the predictions of the attribute substitution framework. Issues on usage of simple heuristics and psychological processes are discussed.
Keywords Knowledge‐based inference  Binary choice inference  The fluency heuristic  Attribute substitution  The recognition heuristic  The familiarity heuristic
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DOI 10.1111/cogs.12395
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A Model of Heuristic Judgment.Daniel Kahneman & Shane Frederick - 2005 - In K. Holyoak & B. Morrison (eds.), The Cambridge Handbook of Thinking and Reasoning. Cambridge University Press. pp. 267--293.

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