Literature DB >> 30317031

Structure-function fit underlies the evaluation of teleological explanations.

Emily G Liquin1, Tania Lombrozo2.   

Abstract

Teleological explanations, which appeal to a function or purpose (e.g., "kangaroos have long tails for balance"), seem to play a special role within the biological domain. We propose that such explanations are compelling because they are evaluated on the basis of a salient cue: structure-function fit, or the correspondence between a biological feature's form (e.g., tail length) and its function (e.g., balance). Across five studies with 852 participants in total, we find support for three predictions that follow from this proposal. First, we find that function information decreases reliance on mechanistic considerations when evaluating explanations (Experiments 1-3), indicating the presence of a salient, function-based cue. Second, we demonstrate that structure-function fit is the best candidate for this cue (Experiments 3-4). Third, we show that scientifically-unwarranted teleological explanations are more likely to be accepted under speeded and unspeeded conditions when they are high in structure-function fit (Experiment 5). Experiment 5 also finds that structure-function fit extends beyond biology to teleological explanations in other domains. Jointly, these studies provide a new account of how teleological explanations are evaluated and why they are often (but not universally) compelling.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Causal reasoning; Explanation; Teleology

Mesh:

Year:  2018        PMID: 30317031     DOI: 10.1016/j.cogpsych.2018.09.001

Source DB:  PubMed          Journal:  Cogn Psychol        ISSN: 0010-0285            Impact factor:   3.468


  3 in total

1.  Developmental Changes in Strategies for Gathering Evidence About Biological Kinds.

Authors:  Emily Foster-Hanson; Kelsey Moty; Amanda Cardarelli; John Daryl Ocampo; Marjorie Rhodes
Journal:  Cogn Sci       Date:  2020-05

2.  How Does Explanatory Virtue Determine Probability Estimation?-Empirical Discussion on Effect of Instruction.

Authors:  Asaya Shimojo; Kazuhisa Miwa; Hitoshi Terai
Journal:  Front Psychol       Date:  2020-12-09

3.  Explanations and Causal Judgments Are Differentially Sensitive to Covariation and Mechanism Information.

Authors:  Ny Vasil; Tania Lombrozo
Journal:  Front Psychol       Date:  2022-08-01
  3 in total

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