Talk:Cognitive musicology

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This is a mess in every way. There is nothing possible to save it. The references are minimal, the exposition flawed. —Preceding unsigned comment added by 164.67.64.94 (talk) 23:06, 8 September 2010 (UTC)[reply]

Indeed, it's rather a panorama than an article, the lede is not very good, and the references seem rather proxy. However, some of them are well-chosen, and allover the article has some substance—compare e.g. to

music cognition. Why don't you try and flesh it out? Best, Morton Shumway—talk 13:42, 9 September 2010 (UTC).[reply

]

The following material was commented out of the introduction. I have placed it here. There are problems with the language, clearly, but some of this material (and the sources) could be restored, I think. ---- CharlesGillingham (talk) 16:54, 3 January 2012 (UTC)[reply]

Cognitive musicology is the set of all phenomena surrounding the computational modeling of musical thought and action.^[1] The focus on computational modeling implies an emphasis on knowledge representation, which suggests that the roots of cognitive musicology lie in artificial intelligence. The thought and action tag reminds us that the field also has historical ties to the psychology of music. Since the field investigates parallels between music and language, and incorporates biologically inspired models of computation in the form of neural networks and evolutionary programs, it is clear that cognitive musicology is a highly interdisciplinary field which lies within the bounds of cognitive science. According to Laske,^[2] one of the foremost champions of the field, the goal of cognitive musicology (sometimes known as AI and Music) is the computational modeling of musical knowledge, and the motivation behind this goal is to gain understanding of both music and cognition. The computer is central to the enterprise since computer modeling invites comparison to cognitive processing, provides an exacting interactive medium in which to formulate and test theories, and facilitates the collection of data for analysis.^[3]

References

1. ^ Graci, C. (2009-2010) A brief tour of the learning sciences featuring a cognitive tool for investigating melodic phenomena. Journal of Educational Technology Systems, 38(2), 181-211.
2. ISBN 9780313306327
   .
3. ^ Laske, O. (1999). AI and music: A cornerstone of cognitive musicology. In M. Balaban, K. Ebcioglu, & O. Laske (Eds.), Understanding music with ai: Perspectives on music cognition. Cambridge: The MIT Press.