Swarmic Sketches and Attention Mechanism

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Mohammad Majid al-Rifaie, John Mark Bishop: Swarmic Sketches and Attention Mechanism. In: EvoMUSART 2013, S. 85-96.




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.

Extended Abstract


booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
series={Lecture Notes in Computer Science},
editor={Machado, Penousal and McDermott, James and Carballal, Adrian},
title={Swarmic Sketches and Attention Mechanism},
url={http://dx.doi.org/10.1007/978-3-642-36955-1_8 http://de.evo-art.org/index.php?title=Swarmic_Sketches_and_Attention_Mechanism },
publisher={Springer Berlin Heidelberg},
keywords={Stochastic Diffusion Search; Particle swarm optimisation; sketching; drawing; attention},
author={al-Rifaie, MohammadMajid and Bishop, JohnMark},

Used References

Al-Rifaie, M.M., Aber, A., Bishop, M.: Cooperation of nature and physiologically inspired mechanisms in visualisation. In: Ursyn, A. (ed.) Biologically-Inspired Computing for the Arts: Scientific Data through Graphics. IGI Global, United States (2012) ISBN13: 9781466609426, ISBN10: 1466609427

Al-Rifaie, M.M., Bishop, M.: Weak vs. strong computational creativity. In: AISB 2012: Computing and Philosophy, University of Birmingham, Birmingham, U.K. (2012)

Al-Rifaie, M.M., Bishop, M.: Swarmic Painting with Colour–attentive Swarms. In: Machado, P., McDermott, J., Carballal, A. (eds.) EvoMUSART 2013. LNCS, vol. 7834, pp. 97–108. Springer, Heidelberg (2013)

Al-Rifaie, M.M., Bishop, M., Blackwell, T.: An investigation into the merger of stochastic diffusion search and particle swarm optimisation. In: GECCO 2011: Proceedings of the 2011 GECCO Conference Companion on Genetic and Evolutionary Computation, pp. 37–44. ACM (2011)

Al-Rifaie, M.M., Bishop, M., Caines, S.: Creativity and autonomy in swarm intelligence systems. In: Bishop, M., Erden, Y. (eds.) Journal of Cognitive Computation: Computational Creativity, Intelligence and Autonomy, vol. 3, pp. 320–331. Springer (2012)

Aupetit, S., Bordeau, V., Monmarche, N., Slimane, M., Venturini, G.: Interactive evolution of ant paintings. In: The 2003 Congress on Evolutionary Computation, CEC 2003, vol. 2, pp. 1376–1383 (2004)

Bishop, J.: Stochastic searching networks. In: Proc. 1st IEE Conf. on Artificial Neural Networks, London, UK, pp. 329–331 (1989)

Bratton, D., Kennedy, J.: Defining a standard for particle swarm optimization. In: Proc of the Swarm Intelligence Symposium, pp. 120–127. IEEE, Honolulu (2007)

Clerc, M., Kennedy, J.: The particle swarm-explosion, stability, and convergence in amultidimensional complex space. IEEE Transactions on Evolutionary Computation 6(1), 58–73 (2002)

Greenfield, G.: Evolutionary Methods for Ant Colony Paintings. In: Rothlauf, F., Branke, J., Cagnoni, S., Corne, D.W., Drechsler, R., Jin, Y., Machado, P., Marchiori, E., Romero, J., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2005. LNCS, vol. 3449, pp. 478–487. Springer, Heidelberg (2005)

James, W.: The principles of psychology (1890)

Kames, H.H.: Elements of Criticism (1769)

Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks, vol. IV, pp. 1942–1948. IEEE Service Center, Piscataway (1995)

Moglich, M., Maschwitz, U., Holldobler, B.: Tandem calling: A new kind of signal in ant communication. Science 186(4168), 1046–1047 (1974)

Monmarche, N., Aupetit, S., Bordeau, V., Slimane, M., Venturini, G.: Interactive evolution of ant paintings. In: McKay, B., et al. (eds.) 2003 Congress on Evolutionary Computation, vol. 2, pp. 1376–1383. IEEE Press (2003)

Moura, L., Ramos, V.: Swarm paintings–nonhuman art. Architopia Book, Art, Architecture and Science pp. 5–24 (2007)

Shi, Y., Eberhart, R.C.: Parameter Selection in Particle Swarm Optimization. In: Porto, V.W., Saravanan, N., Waagen, D., Eiben, A.E. (eds.) EP 1998. LNCS, vol. 1447, pp. 591–600. Springer, Heidelberg (1998)

Taylor, C.C.W.: Berkeley’s theory of abstract ideas. The Philosophical Quarterly 97–115 (1978)

Titchener, E.B.: Lectures on the elementary psychology of feeling and attention. The Macmillan Company (1908)

Urbano, P.: Playing in the Pheromone Playground: Experiences in Swarm Painting. In: Rothlauf, F., Branke, J., Cagnoni, S., Corne, D.W., Drechsler, R., Jin, Y., Machado, P., Marchiori, E., Romero, J., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2005. LNCS, vol. 3449, pp. 527–532. Springer, Heidelberg (2005)

Urbano, P.: Consensual Paintings. In: Rothlauf, F., Branke, J., Cagnoni, S., Costa, E., Cotta, C., Drechsler, R., Lutton, E., Machado, P., Moore, J.H., Romero, J., Smith, G.D., Squillero, G., Takagi, H. (eds.) EvoWorkshops 2006. LNCS, vol. 3907, pp. 622–632. Springer, Heidelberg (2006)

Vu, P.: Historical Overview of Research on Attention. Sage Publications, Incorporated (2003)


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