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Creativity and autonomy in swarm intelligence systems

Creativity and autonomy in swarm intelligence systems

Al-Rifaie, Mohammad Majid ORCID: 0000-0002-1798-9615, Bishop, Marc and Caines, Suzanne (2012) Creativity and autonomy in swarm intelligence systems. Cognitive Computation, 4. pp. 320-331. ISSN 1866-9956 (Print), 1866-9964 (Online) (doi:https://doi.org/10.1007/s12559-012-9130-y)

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Abstract

This work introduces two swarm intelligence algorithms – one mimicking the behaviour of one species of ants (Leptothorax acervorum) foraging (a ‘Stochastic Diffusion Search’, SDS) and the other algorithm mimicking the behaviour of birds flocking (a ‘Particle Swarm Optimiser’, PSO) – and outlines a novel integration strategy exploiting the local search properties of the PSO with global SDS behaviour. The resulting hybrid algorithm is used to sketch novel drawings of an input image, exploliting an artistic tension between the local behaviour of the ‘birds flocking’ - as they seek to follow the input sketch - and the global behaviour of the ‘ants foraging’ - as they seek to encourage the flock to explore novel regions of the canvas. The paper concludes by exploring the putative ‘creativity’ of this hybrid swarm system in the philosophical light of the ‘rhizome’ and Deleuze’s well known ‘Orchid and Wasp’ metaphor.

Item Type: Article
Uncontrolled Keywords: Stochastic Diffusion Search, SDS, creativity, autonomy, swarm intelligence
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
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Last Modified: 30 Jun 2021 10:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/21032

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