Swarmic Sketches and Attention Mechanism

  • Mohammad Majid al-Rifaie
  • John Mark Bishop
Conference paper

DOI: 10.1007/978-3-642-36955-1_8

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7834)
Cite this paper as:
al-Rifaie M.M., Bishop J.M. (2013) Swarmic Sketches and Attention Mechanism. In: Machado P., McDermott J., Carballal A. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2013. Lecture Notes in Computer Science, vol 7834. Springer, Berlin, Heidelberg


This paper introduces a novel approach deploying the mechanism of ‘attention’ by adapting a swarm intelligence algorithm – Stochastic Diffusion Search – to selectively attend to detailed areas of a digital canvas. Once the attention of the swarm is drawn to a certain line within the canvas, the capability of another swarm intelligence algorithm – Particle Swarm Intelligence – is used to produce a ‘swarmic sketch’ of the attended line. The swarms move throughout the digital canvas in an attempt to satisfy their dynamic roles – attention to areas with more details – associated to them via their fitness function. Having associated the rendering process with the concepts of attention, the performance of the participating swarms creates a unique, non-identical sketch each time the ‘artist’ swarms embark on interpreting the input line drawings. The detailed investigation of the ‘creativity’ of such systems have been explored in our previous work; nonetheless, this papers provides a brief account of the ‘computational creativity’ of the work through two prerequisites of creativity within the swarm intelligence’s two infamous phases of exploration and exploitation; these phases are described herein through the attention and tracing mechanisms respectively.


Stochastic Diffusion Search Particle swarm optimisation sketching drawing attention 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Mohammad Majid al-Rifaie
    • 1
  • John Mark Bishop
    • 2
  1. 1.Vividus Swarm LabVividus Solutions LTD.LondonUK
  2. 2.Goldsmiths, University of LondonLondonUK

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