Al-Rifaie, Mohammad Majid ORCID: https://orcid.org/0000-0002-1798-9615 and Bishop, Mohammad (2013) Swarmic sketches and attention mechanism. In: Evolutionary and Biologically Inspired Music, Sound, Art and Design Second International Conference, EvoMUSART 2013, Vienna, Austria, April 3-5, 2013. Proceedings. Lecture Notes in Computer Science book series (LNCS), 7834 . Springer, Berlin, Heidelberg, pp. 85-96. ISBN 978-3642369544 ISSN 0302-9743 (Print), 1611-3349 (Online) (doi:10.1007/978-3-642-36955-1_8)

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Abstract

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.

Item Type:	Conference Proceedings
Title of Proceedings:	Evolutionary and Biologically Inspired Music, Sound, Art and Design Second International Conference, EvoMUSART 2013, Vienna, Austria, April 3-5, 2013. Proceedings
Uncontrolled Keywords:	stochastic diffusion search, particle swarm intelligence, computational creativity, sketch, drawing, generative art
Subjects:	B Philosophy. Psychology. Religion > BH Aesthetics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Liberal Arts & Sciences > Computational Science & Engineering Group (CSEH) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:08
URI:	http://gala.gre.ac.uk/id/eprint/21027

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