David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
We advance a theory of inductive inference designed to predict the conditional probability that certain natural categories satisfy a given predicate given that others do (or do not). A key component of the theory is the similarity of the categories to one another. We measure such similarities in terms of the overlap of metabolic activity in voxels of various posterior regions of the brain in response to viewing instances of the category. The theory and similarity measure are tested against averaged probability judgments elicited from a separate group of subjects. Fruit serve as categories in the present experiment; results are compared to earlier work with mammals.
|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
Patrick Maher (2006). A Conception of Inductive Logic. Philosophy of Science 73 (5):513-523.
A. W. F. Edwards (1972). Likelihood. Cambridge [Eng.]University Press.
Theo A. F. Kuipers (1984). Two Types of Inductive Analogy by Similarity. Erkenntnis 21 (1):63 - 87.
Patrick Maher (2006). The Concept of Inductive Probability. Erkenntnis 65 (2):185 - 206.
Maria Concetta Di Maio (1995). Predictive Probability and Analogy by Similarity in Inductive Logic. Erkenntnis 43 (3):369 - 394.
Theodore Hailperin (1991). Probability Logic in the Twentieth Century. History and Philosophy of Logic 12 (1):71-110.
Matthew Weber & Daniel Osherson (2010). Similarity and Induction. Review of Philosophy and Psychology 1 (2):245-264.
Added to index2009-01-28
Total downloads22 ( #111,233 of 1,696,507 )
Recent downloads (6 months)5 ( #113,165 of 1,696,507 )
How can I increase my downloads?