Nina Poth
Ruhr-Universität Bochum
Tenenbaum and Griffiths (2001) have proposed that their Bayesian model of generalisation unifies Shepard’s (1987) and Tversky’s (1977) similarity-based explanations of two distinct patterns of generalisation behaviours by reconciling them under a single coherent task analysis. I argue that this proposal needs refinement: instead of unifying the heterogeneous notion of psychological similarity, the Bayesian approach unifies generalisation by rendering the distinct patterns of behaviours informationally relevant. I suggest that generalisation as a Bayesian inference should be seen as a complement to, instead of a replacement of, similarity-based explanations. Furthermore, I show that the unificatory powers of the Bayesian model of generalisation can contribute to the selection of one of these models of psychological similarity.
Keywords Generalisation, Similarity, Bayesian inference, Unification, Mutual informational relevance
Categories (categorize this paper)
DOI 10.1007/s13164-022-00613-5
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

 PhilArchive page | Other versions
External links

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

Explanation and Scientific Understanding.Michael Friedman - 1974 - Journal of Philosophy 71 (1):5-19.
Features of Similarity.Amos Tversky - 1977 - Psychological Review 84 (4):327-352.

View all 54 references / Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Conceptual Spaces, Generalisation Probabilities and Perceptual Categorisation.Nina Poth - 2019 - In Peter Gärdenfors, Antti Hautamäki, Frank Zenker & Mauri Kaipainen (eds.), Conceptual Spaces: Elaborations and Applications. Springer Verlag.
Universal Bayesian Inference?David Dowe & Graham Oppy - 2001 - Behavioral and Brain Sciences 24 (4):662-663.
Parity Still Isn't a Generalisation Problem.R. I. Damper - 1998 - Behavioral and Brain Sciences 21 (2):307-308.
A Generalisation of Bayesian Inference.Arthur Dempster - 1968 - Journal of the Royal Statistical Society Series B 30:205-247.
Exhuming Similarity.Dedre Gentner - 2001 - Behavioral and Brain Sciences 24 (4):669-669.
Statistical Model Selection Criteria and Bayesianism.I. A. Kieseppä - 2001 - Philosophy of Science 68 (S3):S141-S152.
Being Realist About Bayes, and the Predictive Processing Theory of Mind.Matteo Colombo, Lee Elkin & Stephan Hartmann - 2021 - British Journal for the Philosophy of Science 72 (1):185-220.
Statistical Model Selection Criteria and Bayesianism.I. A. Kieseppä - 2001 - Proceedings of the Philosophy of Science Association 2001 (3):S141 - S152.
The Role of Bayesian Philosophy Within Bayesian Model Selection.Jan Sprenger - 2013 - European Journal for Philosophy of Science 3 (1):101-114.


Added to PP index

Total views
71 ( #165,419 of 2,533,688 )

Recent downloads (6 months)
38 ( #22,983 of 2,533,688 )

How can I increase my downloads?


My notes