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Mind, Body, World- Foundations of Cognitive Science, 2013a

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accuracy (i.e., corresponding to a degree <strong>of</strong> 86 percent or better with Temperley’s<br />

metric intuitions).<br />

One further difference between Temperley’s (2001) algorithmic emphasis and<br />

Lerdahl and Jackend<strong>of</strong>f’s (1983) emphasis on competence is reflected in how the<br />

theory is refined. Because Temperley’s model is realized as a working computer<br />

model, he could easily examine its performance on a variety <strong>of</strong> input pieces and<br />

therefore identify its potential weaknesses. He took advantage <strong>of</strong> this ability to propose<br />

an additional set <strong>of</strong> four preference rules for metre, as an example, to extend<br />

the applicability <strong>of</strong> his algorithm to a broader range <strong>of</strong> input materials.<br />

To this point, the brief examples provided in this section have been used to<br />

illustrate two <strong>of</strong> the key assumptions made by classical researchers <strong>of</strong> musical cognition.<br />

First, mental representations are used to impose an organization on music<br />

that is not physically present in musical stimuli. Second, these representations are<br />

classical in nature: they involve different kinds <strong>of</strong> rules (e.g., preference rules, wellformedness<br />

rules) that can be applied to symbolic media that have musical contents<br />

(e.g., spatial maps, musical scores, piano-roll representations). A third characteristic<br />

also is frequently present in classical theories <strong>of</strong> musical cognition: the notion<br />

that the musical knowledge reflected in these representations is acquired, or can be<br />

modified, by experience.<br />

The plasticity <strong>of</strong> musical knowledge is neither a new idea nor a concept that is<br />

exclusively classical. We saw earlier that composers wished to inform their audience<br />

about compositional conventions so the latter could better appreciate performances<br />

(Copland, 1939). More modern examples <strong>of</strong> this approach argue that ear training,<br />

specialized to deal with some <strong>of</strong> the complexities <strong>of</strong> modern music to be introduced<br />

later in this chapter, can help to bridge the gaps between composers, performers,<br />

and audiences (Friedmann, 1990). Individual differences in musical ability were<br />

thought to be a combination <strong>of</strong> innate and learned information long before the<br />

cognitive revolution occurred (Seashore, 1967): “The ear, like the eye, is an instrument,<br />

and mental development in music consists in the acquisition <strong>of</strong> skills and the<br />

enrichment <strong>of</strong> experience through this channel” (p. 3).<br />

The classical approach views the acquisition <strong>of</strong> musical skills in terms <strong>of</strong><br />

changes in mental representations. “We learn the structures that we use to represent<br />

music” (Sloboda, 1985, p. 6). Krumhansl (1990, p. 286) noted that the robust<br />

hierarchies <strong>of</strong> tonal stability revealed in her research reflect stylistic regularities<br />

in Western tonal music. From this she suggests that “it seems probable, then, that<br />

abstract tonal and harmonic relations are learned through internalizing distributional<br />

properties characteristic <strong>of</strong> the style.” This view is analogous to those classical<br />

theories <strong>of</strong> perception that propose that the structure <strong>of</strong> internal representations<br />

imposes constraints on visual transformations that mirror the constraints imposed<br />

by the physics <strong>of</strong> the external world (Shepard, 1984b).<br />

Classical Music and <strong>Cognitive</strong> <strong>Science</strong> 279

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