Table C: Cooperative & Generative "On parametric spaces perceptual exploration" Algorithmic composition is the process of creating musical material by means of formal methods. As a consequence of their design, algorithmic composition systems are (explicitly or implicitly) described in terms of parameters. The possible parameter combinations form the space created by the system. Therefore, their exploration plays a key role in learning the system’s capabilities. A common practice of the performer/composer is to choose, out of all the possibilities, specific parameter configurations for specific moments or contexts. However, the process of finding such configurations is mainly performed by hand or heuristic system information. Furthermore, given a set of points successfully exhibiting an aural result, little its known about how they are related and distributed in the space. Are points close to each other, in “well determined” subspaces? Or are there any space transformation from which their relations make new sense? + INFO: www.gredits.org/interfacepolitics/es/on-parametric-spaces-perceptual-exploration-2/

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