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]

Removed material

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

^ 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.

^ Laske, Otto (1999). Navigating New Musical Horizons (Contributions to the Study of Music and Dance). Westport: Greenwood Press. ISBN 9780313306327.

^ 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.

Reference

Changed Katz & Pesetsky ref. What was referenced previously was unpublished and probably qualifies as original research. Switched ref to a presentation they gave in 2009 at a conference. Also moved ref, since it supports the second sentence of the paragraph more than the first. Eflatmajor7th (talk) 02:21, 11 June 2012 (UTC)[reply]

Generative sciences

I took the following out:

Generative science
Cognitive Musicology falls within the realm of the generative sciences. A generative science is an interdisciplinary field of study that explores how the world works through research into specific topics. By studying a given topic from a generative perspective, we can see how it functions with natural laws. By studying cognitive musicology, we can potentially understand how humans think about music and how we can computationally model those thoughts.

This seems like an ad-hoc addition to an otherwise fairly coherent, if incomplete, article. It is awkwardly-worded, and there are no citations. I understand what a "generative science" is, but it either needs to be integrated into the article somehow, and/or provided as a related field. It does not fit as part of an encyclopedia article. Eflatmajor7th (talk) 03:08, 11 June 2012 (UTC)[reply]

Laske

Is there any reason for the "was" in the first sentence about Otto Laske? Please let me know.--Wuttgenstein (talk) 07:56, 4 September 2013 (UTC)[reply]

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[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] Laske, Otto (1999). Navigating New Musical Horizons (Contributions to the Study of Music and Dance). Westport: Greenwood Press. 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.

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