Abstract
We present the initial results of a combined music education and artificial intelligence (AI) study on the cognitive processes underlying music composition. The examination of a body of protocol data collected in an earlier study by Younker & Smith led to the development of two models of compositional behavior. One is embodied as a production system emphasizing the high-level actions of novice and expert composers. A hypermedia system has been implemented allowing one to “experience” this model both visually and aurally. In addition, we present some initial unimplemented thoughts regarding the composition task which examine opportunism and memory and their relationship with the final musical product. Both formulations are motivated by the assumption that understanding musical processes and the intermediate products generated during a composer’s work may help to increase our perspective on music cognition. As well. we discuss these two models in terms of educational applications and the construction of learning environments based in part on the work described here.KeywordsMetacognitive SkillIntelligent Tutoring SystemCompositional ProcessCreative TaskProtocol DataThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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