David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Cognitive Science 36 (5):919-932 (2012)
We investigated the understanding of causal systems categories—categories defined by common causal structure rather than by common domain content—among college students. We asked students who were either novices or experts in the physical sciences to sort descriptions of real-world phenomena that varied in their causal structure (e.g., negative feedback vs. causal chain) and in their content domain (e.g., economics vs. biology). Our hypothesis was that there would be a shift from domain-based sorting to causal sorting with increasing expertise in the relevant domains. This prediction was borne out: The novice groups sorted primarily by domain and the expert group sorted by causal category. These results suggest that science training facilitates insight about causal structures
|Keywords||Relational categories Categorization Expertise Causal reasoning|
|Categories||categorize this paper)|
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Citations of this work BETA
Jessica A. Cooper & Jessecae K. Marsh (2015). The Influence of Expertise on Essence Beliefs for Mental and Medical Disorder Categories. Cognition 144:67-75.
Micah B. Goldwater & Dedre Gentner (2015). On the Acquisition of Abstract Knowledge: Structural Alignment and Explication in Learning Causal System Categories. Cognition 137:137-153.
Wolff‐Michael Roth & Timothy J. Mavin (2015). Peer Assessment of Aviation Performance: Inconsistent for Good Reasons. Cognitive Science 39 (2):405-433.
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