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AtomSwarm: A Framework for Swarm Improvisation

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Applications of Evolutionary Computing (EvoWorkshops 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4974))

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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.

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Mario Giacobini Anthony Brabazon Stefano Cagnoni Gianni A. Di Caro Rolf Drechsler Anikó Ekárt Anna Isabel Esparcia-Alcázar Muddassar Farooq Andreas Fink Jon McCormack Michael O’Neill Juan Romero Franz Rothlauf Giovanni Squillero A. Şima Uyar Shengxiang Yang

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© 2008 Springer-Verlag Berlin Heidelberg

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Jones, D. (2008). AtomSwarm: A Framework for Swarm Improvisation. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2008. Lecture Notes in Computer Science, vol 4974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78761-7_45

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  • DOI: https://doi.org/10.1007/978-3-540-78761-7_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78760-0

  • Online ISBN: 978-3-540-78761-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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