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

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<strong>of</strong> fifths. In other words, if one ignores the sublime nature <strong>of</strong> networks and seeks to<br />

interpret their internal structures, one can discover new kinds <strong>of</strong> formal representations<br />

that could easily become part <strong>of</strong> a classical theory.<br />

Other, more direct integrations can be made between connectionist and classical<br />

approaches to music. For example, NetNeg is a hybrid artificial intelligence<br />

system for composing two voice counterpoint pieces (Goldman et al., 1999). It<br />

assumes that some aspects <strong>of</strong> musical knowledge are subsymbolic and difficult to<br />

formalize, while other aspects are symbolic and easily described in terms <strong>of</strong> formal<br />

rules. NetNeg incorporates both types <strong>of</strong> processes to guide composition. It includes<br />

a network component that learns to reproduce melodies experienced during a training<br />

phase and uses this knowledge to generate new melodies. It also includes two<br />

rule-based agents, each <strong>of</strong> which is responsible for composing one <strong>of</strong> the voices that<br />

make up the counterpoint and for enforcing the formal rules that govern this kind<br />

<strong>of</strong> composition.<br />

There is a loose coupling between the connectionist and the rule-based agents<br />

in NetNeg (Goldman et al., 1999), so that both co-operate, and both place constraints,<br />

on the melodies that are composed. The network suggests the next note in<br />

the melody, for either voice, and passes this information on to a rule-based agent.<br />

This suggestion, combined with interactions between the two rule-based agents<br />

(e.g., to reach an agreement on the next note to meet some aesthetic rule, such as<br />

moving the melody in opposite directions), results in each rule-based agent choosing<br />

the next note. This selection is then passed back to the connectionist part <strong>of</strong> the<br />

system to generate the next melodic prediction as the process iterates.<br />

Integration is also possible between connectionist and embodied approaches<br />

to music. For example, for a string instrument, each note in a composition can be<br />

played by pressing different strings in different locations, and each location can<br />

be pressed by a different finger (Sayegh, 1989). The choice <strong>of</strong> string, location, and<br />

fingering is usually not specified in the composition; a performer must explore a<br />

variety <strong>of</strong> possible fingerings for playing a particular piece. Sayegh has developed<br />

a connectionist system that places various constraints on fingering so the network<br />

can suggest the optimal fingering to use. A humorous—yet strangely plausible—<br />

account <strong>of</strong> linking connectionist networks with actions was provided in Garrison<br />

Cottrell’s (1989) proposal <strong>of</strong> the “connectionist air guitar.”<br />

Links also exist between classical and embodied approaches to musical cognition,<br />

although these are more tenuous because such research is in its infancy. For example,<br />

while Leman (2008) concentrated on the direct nature <strong>of</strong> musical experience that<br />

characterizes the embodied approach, he recognized that indirect accounts—such as<br />

verbal descriptions <strong>of</strong> music—are both common and important. The most promising<br />

links are appearing in work on the cognitive neuroscience <strong>of</strong> music, which is beginning<br />

to explore the relationship between music perception and action.<br />

Classical Music and <strong>Cognitive</strong> <strong>Science</strong> 311

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