David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
In Alison Gopnik & Laura Schulz (eds.), Causal Learning: Psychology, Philosophy, Computation. Oxford University Press. 245--260 (2007)
Why do we represent the world around us using causal generalizations, rather than, say, purely statistical generalizations? Do causal representations contain useful additional information, or are they merely more efficient for inferential purposes? This paper considers the second kind of answer: it investigates some ways in which causal cognition might aid us not because of its expressive power, but because of its organizational power. Three styles of explanation are considered. The first, building on the work of Reichenbach in "The Direction of Time", points to causal representation as especially efficient for predictive purposes in a world containing certain pervasive patterns of conditional independence. The second, inspired by work of Woodward and others, finds causal representation to be an excellent vehicle for representing all-important relations of manipulability. The third, based in part on my own work, locates the importance of causal cognition in the special role it reserves for information about underlying mechanisms. All three varieties of explanation show promise, but particular emphasis is placed on the third.
|Keywords||No keywords specified (fix it)|
|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
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Jim Bogen (2005). Regularities and Causality; Generalizations and Causal Explanations. Studies in History and Philosophy of Science Part C 36 (2):397-420.
Frederick Eberhardt (2009). Introduction to the Epistemology of Causation. Philosophy Compass 4 (6):913-925.
Daniel Hausman (1983). Are There Causal Relations Among Dependent Variables? Philosophy of Science 50 (1):58-81.
Paul Audi (2011). Primitive Causal Relations and the Pairing Problem. Ratio 24 (1):1-16.
Clark Glymour (1998). Learning Causes: Psychological Explanations of Causal Explanation. [REVIEW] Minds and Machines 8 (1):39-60.
Riccardo Viale (1999). Causal Cognition and Causal Realism. International Studies in the Philosophy of Science 13 (2):151 – 167.
Daniel Murray Hausman (2005). Causal Relata: Tokens, Types, or Variables? [REVIEW] Erkenntnis 63 (1):33 - 54.
Added to index2010-04-16
Total downloads30 ( #63,740 of 1,140,042 )
Recent downloads (6 months)2 ( #92,708 of 1,140,042 )
How can I increase my downloads?