David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
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)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Alison Gopnik, Clark Glymour, David M. Sobel, Laura Schulz, Tamar Kushnir & David Danks, A Theory of Causal Learning in Children: Causal Maps and Bayes Nets.
Steven Sloman (2005). Causal Models: How People Think About the World and its Alternatives. OUP Usa.
M. T. H. Chi, P. J. Feltovich & R. Glaser (1981). Categorization and Representation of Physics Problems by Experts and Novices. Cognitive Science 5 (2):121-52.
T. Lombrozo & S. Carey (2006). Functional Explanation and the Function of Explanation. Cognition 99 (2):167-204.
Mark Steyvers, Joshua B. Tenenbaum, Eric‐Jan Wagenmakers & Ben Blum (2003). Inferring Causal Networks From Observations and Interventions. Cognitive Science 27 (3):453-489.
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.
Similar books and articles
Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum (2010). Learning to Learn Causal Models. Cognitive Science 34 (7):1185-1243.
Brett K. Hayes & Bob Rehder (2012). The Development of Causal Categorization. Cognitive Science 36 (6):1102-1128.
York Hagmayer, Björn Meder, Momme von Sydow & Michael R. Waldmann (2011). Category Transfer in Sequential Causal Learning: The Unbroken Mechanism Hypothesis. Cognitive Science 35 (5):842-873.
Iain Martel (2008). The Principle of the Common Cause, the Causal Markov Condition, and Quantum Mechanics: Comments on Cartwright. In Luc Bovens, Carl Hoefer & Stephan Hartmann (eds.), Nancy Cartwright's Philosophy of Science. Routledge 242-262.
Alison Gopnik, Sorting and Acting with Objects in Early Childhood: An Exploration of the Use of Causal Cues.
Herbert A. Simon & Nicholas Rescher (1966). Cause and Counterfactual. Philosophy of Science 33 (4):323-340.
Bob Rehder & Reid Hastie (2001). Causal Knowledge and Categories: The Effects of Causal Beliefs on Categorization, Induction, and Similarity. Journal of Experimental Psychology 130 (3):323-360.
Scott A. Shalkowski (1992). Supervenience and Causal Necessity. Synthese 90 (1):55-87.
Bob Coecke & Raymond Lal (2013). Causal Categories: Relativistically Interacting Processes. [REVIEW] Foundations of Physics 43 (4):458-501.
Anjan Chakravartty (2005). Causal Realism: Events and Processes. [REVIEW] Erkenntnis 63 (1):7 - 31.
Douglas Ehring (1986). Causal Processes and Causal Interactions. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:24 - 32.
Martin Bunzl (1984). A Causal Model for Causal Priority. Erkenntnis 21 (1):31 - 44.
Added to index2012-05-17
Total downloads11 ( #221,581 of 1,727,073 )
Recent downloads (6 months)4 ( #166,848 of 1,727,073 )
How can I increase my downloads?