Abstract
This paper presents the current state in an ongoing development of the Genetic Improvisation Model (GIM): a framework for the design of real-time improvisational systems. The aesthetic rationale for the model is presented, followed by a discussion of its general principles. A discussion of the Emonic Environment, a networked system for audiovisual creation built on GIM’s principles, follows.
Not following one fixed aesthetic idiom, such as a particular music style.
Here, global criteria define what constitutes an overall good improvisation, while local criteria are those of an immediate context.
From here on improvisation & any derivative words refer to the non-idiomatic improvisation.
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Nemirovsky, P., Watson, R. (2003). Genetic Improvisation Model A Framework for Real-Time Performance Environments. In: Cagnoni, S., et al. Applications of Evolutionary Computing. EvoWorkshops 2003. Lecture Notes in Computer Science, vol 2611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36605-9_50
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DOI: https://doi.org/10.1007/3-540-36605-9_50
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