Music Cognition: Where Computational and Cognitive Models Meet
Тези до: 04.01.2015
Дати: 27.03.15 — 28.03.15
Е-мейл Оргкомітету: email@example.com
Організатори: University of London
Music is a complex human phenomenon, motivating researchers to develop a wide variety of models to understand it. Scholars have been developing and revising musical models for more than two thousand years, ranging from the intervallic theories of Pythagoras to the models for large-scale music data mining used at music intelligence companies such as Spotify and Deezer. Different types of models have been developed to suit different academic purposes, including a number of cognitive models (Deutsch & Feroe, 1981; Koelsch, 2011; Lerdahl & Jackendoff, 1983; Narmour, 1992; Peretz & Coltheart, 2003) and a number of computational models of music cognition (Wiggins, Pearce, & Müllensiefen, 2009; Temperley, 2007; Honing, 2006), and at times, partisans of one model have criticized alternative models for the ways in which they are inevitably wrong or inadequate.
The study of music cognition has been a notable flashpoint in these debates, specifically whether ‘cognitive’ or ‘computational’ models are most appropriate and where to draw the boundary between them (Volk & Honingh, JMM special issue 2012). Such polemics may well have resulted in missed collaborations among researchers with the common goal of understanding the mechanisms underlying music cognition. This workshop aims to uncover new areas where cognitive models and computational models of music cognition could profit from one another, promoting a better understanding of music as a human phenomenon and improving the communication between music cognitive and computational scientists.