Abstract
This paper introduces AtomSwarm, a framework for sound-based performance using swarm dynamics. The classical ruleset for flocking simulations is augmented with genetically-encoded behaviours, hormonal flows, and viral 'memes', creating a complex sonic ecosystem that is capable of temporal adaptation and self-regulation. The architecture and sound design methodologies are summarised here, with critical reference to its biomimetic design process, sonic spatialisation and self-organising capabilities. It is finally suggested that the system's lifelikeness is a product of its relational complexity, creating empathic engagement purely through abstract formal structures. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Jones, D. (2008). AtomSwarm: A framework for Swarm improvisation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4974 LNCS, pp. 423–432). https://doi.org/10.1007/978-3-540-78761-7_45
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