Artistic research works with forms of knowledge which cannot be grasped using scientific research methods. Included in this is the implicit knowledge on which artistic practice is based and the knowledge which manifests in the results of artistic practice and for whose communication an experience of the work of art is necessary. Artistic research seeks alternative possibilities to communicate these forms of knowledge. This endeavour can look back on a long tradition in the field of computer music, starting with the origin of electronic music and musique concrète in the 1950s.
Sound and Space
We consider sound and space as intrinsically related concepts which should not be investigated separately, especially not from an artistic point of view. The challenges of composing and performing sound and space are investigated aiming at furthering the practice of computer music.
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The degree of embodiment a sound producing artefact affords is of central relevance for computer music as our perception is very attuned to detecting human agency in sound production. Artistic research on embodiment helps to identify the implications of this constraint for composition.
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Algorithmic Composition - in the stricter sense - treat the generation of musical structure on a symbolical level and has a century old tradition not only in occidental music history. Recent paradigms encompass Generative Grammar, Transition Networks, Genetic Algorithms, Cellular Automata, Neural Networks and some approaches of Artificial Intelligence.
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