David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Cognitive Science 35 (5):842-873 (2011)
The goal of the present set of studies is to explore the boundary conditions of category transfer in causal learning. Previous research has shown that people are capable of inducing categories based on causal learning input, and they often transfer these categories to new causal learning tasks. However, occasionally learners abandon the learned categories and induce new ones. Whereas previously it has been argued that transfer is only observed with essentialist categories in which the hidden properties are causally relevant for the target effect in the transfer relation, we here propose an alternative explanation, the unbroken mechanism hypothesis. This hypothesis claims that categories are transferred from a previously learned causal relation to a new causal relation when learners assume a causal mechanism linking the two relations that is continuous and unbroken. The findings of two causal learning experiments support the unbroken mechanism hypothesis
|Keywords||Categorization Causal induction Learning|
|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
Judea Pearl (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press.
Gregory L. Murphy (2004). The Big Book of Concepts. The MIT Press.
Leonid Rozenblit & Frank Keil (2002). The Misunderstood Limits of Folk Science: An Illusion of Explanatory Depth. Cognitive Science 26 (5):521-562.
Woo-Kyoung Ahn, Charles W. Kalish, Douglas L. Medin & Susan A. Gelman (1995). The Role of Covariation Versus Mechanism Information in Causal Attribution. Cognition 54 (3):299-352.
York Hagmayer, Steven A. Sloman, David A. Lagnado & Michael R. Waldmann (2007). Causal Reasoning Through Intervention. In Alison Gopnik & Laura Schulz (eds.), Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press
Citations of this work BETA
Samuel G. B. Johnson & Woo‐Kyoung Ahn (2015). Causal Networks or Causal Islands? The Representation of Mechanisms and the Transitivity of Causal Judgment. Cognitive Science 39 (7):1468-1503.
Similar books and articles
Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum (2010). Learning to Learn Causal Models. Cognitive Science 34 (7):1185-1243.
Manuel Liz Gutiérrez (2007). Enabling Relations As a Way to Transfer Causal Sufficiency. The Proceedings of the Twenty-First World Congress of Philosophy 5:87-93.
Benjamin M. Rottman, Dedre Gentner & Micah B. Goldwater (2012). Causal Systems Categories: Differences in Novice and Expert Categorization of Causal Phenomena. Cognitive Science 36 (5):919-932.
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.
Timothy J. Nokes (2009). Mechanisms of Knowledge Transfer. Thinking and Reasoning 15 (1):1 – 36.
Alison Gopnik & Laura Schulz (eds.) (2007). Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press.
Alison Gopnik, Clark Glymour, David M. Sobel & Laura E. Schultz, Causal Learning in Children: Causal Maps and Bayes Nets.
Bénédicte Bes, Steven Sloman, Christopher G. Lucas & Éric Raufaste (2012). Non-Bayesian Inference: Causal Structure Trumps Correlation. Cognitive Science 36 (7):1178-1203.
Eleanor Rosch & Carolyn B. Mervis (1975). Family Resemblances: Studies in the Internal Structure of Categories. Cognitive Psychology 7 (4):573--605.
Władysław Krajewski (1997). Energetic, Informational, and Triggering Causes. Erkenntnis 47 (2):193-202.
Marc J. Buehner & Stuart McGregor (2006). Temporal Delays Can Facilitate Causal Attribution: Towards a General Timeframe Bias in Causal Induction. Thinking and Reasoning 12 (4):353 – 378.
Kathryn J. Jeffery (2000). LTP – a Mechanism in Search of a Function. Behavioral and Brain Sciences 23 (2):286-287.
Simon M. Huttegger & Brian Skyrms (2008). Emergence of Information Transfer by Inductive Learning. Studia Logica 89 (2):237 - 256.
Clare R. Walsh & Steven A. Sloman (2011). The Meaning of Cause and Prevent: The Role of Causal Mechanism. Mind and Language 26 (1):21-52.
Added to index2011-05-25
Total downloads18 ( #154,928 of 1,727,257 )
Recent downloads (6 months)9 ( #71,120 of 1,727,257 )
How can I increase my downloads?