Creativity and Autonomy in Swarm Intelligence Systems

al-Rifaie, Mohammad Majid; Bishop, Mark (J. M.) and Caines, Suzanne. 2012. Creativity and Autonomy in Swarm Intelligence Systems. Cognitive Computation, 4(3), pp. 320-331. ISSN 1866-9956 [Article]

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Abstract or Description

This work introduces two swarm intelligence algorithms -- one mimicking the behaviour of one species of ants (\emph{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.

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particle swarm optimisation, stochastic diffusion search, autonomy, swarm intelligence, visualisation, computational creativity

Departments, Centres and Research Units:

Research Office > REF2014



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Date Deposited:

30 Apr 2012 10:48

Last Modified:

29 Apr 2020 15:33

Peer Reviewed:

Yes, this version has been peer-reviewed.


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