PP-2004-14: Honing, Henkjan (2004) Computational modeling of music cognition: A case study on model selection. [Report]
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Abstract
While the most common way of evaluating a computational model is to
see whether it shows a good fit with the empirical data, recent
literature on theory testing and model selection criticizes the
assumption that this is actually strong evidence for the validity of a
model. This paper presents a case study from music cognition (modeling
the ritardandi in music performance) and compares two families of
computational models (kinematic and perceptual) using three different
model selection criteria: goodness-of-fit, model's simplicity,
and the degree of surprise in the predictions. In the light of what
counts as strong evidence for a model's validity - namely
that it makes precise, non-smooth, and relatively surprising
predictions - the perception-based model is preferred over the
kinematic model.
| Item Type: | Report |
|---|---|
| Report Nr: | PP-2004-14 |
| Series Name: | Prepublication (PP) Series |
| Year: | 2004 |
| Uncontrolled Keywords: | model selection, theory testing, music cognition, computational modeling |
| Subjects: | Cognition |
| Depositing User: | Henkjan Honing |
| Date Deposited: | 12 Oct 2016 14:36 |
| Last Modified: | 12 Oct 2016 14:36 |
| URI: | https://eprints.illc.uva.nl/id/eprint/125 |
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