Literature DB >> 29687462

Stable Causal Relationships Are Better Causal Relationships.

Nadya Vasilyeva1, Thomas Blanchard2, Tania Lombrozo1.   

Abstract

We report three experiments investigating whether people's judgments about causal relationships are sensitive to the robustness or stability of such relationships across a range of background circumstances. In Experiment 1, we demonstrate that people are more willing to endorse causal and explanatory claims based on stable (as opposed to unstable) relationships, even when the overall causal strength of the relationship is held constant. In Experiment 2, we show that this effect is not driven by a causal generalization's actual scope of application. In Experiment 3, we offer evidence that stable causal relationships may be seen as better guides to action. Collectively, these experiments document a previously underappreciated factor that shapes people's causal reasoning: the stability of the causal relationship.
Copyright © 2018 Cognitive Science Society, Inc.

Entities:  

Keywords:  Background conditions; Causality; Explanation; Invariance; Moderating variables; Robustness; Sensitivity; Stability

Mesh:

Year:  2018        PMID: 29687462     DOI: 10.1111/cogs.12605

Source DB:  PubMed          Journal:  Cogn Sci        ISSN: 0364-0213


  2 in total

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

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

2.  Causal Responsibility and Robust Causation.

Authors:  Guy Grinfeld; David Lagnado; Tobias Gerstenberg; James F Woodward; Marius Usher
Journal:  Front Psychol       Date:  2020-05-27
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.