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Swarmic Paintings and Colour Attention

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7834)

Abstract

Swarm-based multi-agent systems have been deployed in non-photorealistic rendering for many years. This paper introduces a novel approach in adapting a swarm intelligence algorithm – Stochastic Diffusion Search – for producing non-photorealistic images. The swarm-based system is presented with a digital image and the agents move throughout the digital canvas in an attempt to satisfy the dynamic roles – attention to different colours – associated to them via their fitness function. Having associated the rendering process with the concepts of ‘attention’ in general and colour attention in particular, this papers briefly discusses the ‘computational creativity’ of the work through two prerequisites of creativity (i.e. freedom and constraints) within the swarm intelligence’s two infamous phases of exploration and exploitation.

Keywords

  • Particle Swarm Optimisation
  • Input Image
  • Swarm Intelligence
  • Leftmost Column
  • Swarm Intelligence Algorithm

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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al-Rifaie, M.M., Bishop, J.M. (2013). Swarmic Paintings and Colour Attention. 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. https://doi.org/10.1007/978-3-642-36955-1_9

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  • DOI: https://doi.org/10.1007/978-3-642-36955-1_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36954-4

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