publication . Article . 2011

Creative or Not? Birds and Ants Draw with Muscle

al-Rifaie, Mohammad Majid; Bishop, Mark (J. M.); Aber, Ahmed;
Open Access English
  • Published: 01 Jan 2011
  • Publisher: The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB)
  • Country: United Kingdom
Abstract
In this work, a novel approach of merging two swarm intelligence algorithms is considered – one mimicking the behaviour of ants foraging (Stochastic Diffusion Search [5]) and the other algorithm simulating the behaviour of birds flocking (Particle Swarm Optimisation [17]). This hybrid algorithm is assisted by a mechanism inspired from the behaviour of skeletal muscles activated by motor neurons. The operation of the swarm intelligence algorithms is first introduced via metaphor before the new hybrid algorithm is defined. Next, the novel behaviour of the hybrid algorithm is reflected through a cooperative attempt to make a drawing, followed by a discussion about ...
Subjects
ACM Computing Classification System: ComputingMethodologies_MISCELLANEOUS
Related Organizations

[1] Mohammad Majid al-Rifaie and Mark Bishop, 'The mining game: a brief introduction to the stochastic diffusion search metaheuristic', AISB Quarterly, (2010). [OpenAIRE]

[2] Mohammad Majid al-Rifaie, Mark Bishop, and Tim Blackwell, 'An investigation into the merger of stochastic diffusion search and particle swarm optimisation', Genetic and Evolutionary Computation Conference (GECCO-2011), (July 2011). [OpenAIRE]

[3] S. Aupetit, V. Bordeau, N. Monmarche, M. Slimane, and G. Venturini, 'Interactive evolution of ant paintings', in Evolutionary Computation, 2003. CEC'03. The 2003 Congress on, volume 2, pp. 1376-1383, (2004). [OpenAIRE]

[4] O. Burchan Bayazit, Jyh-Ming Lien, and Nancy M. Amato, 'Roadmapbased flocking for complex environments', in PG '02: Proceedings of the 10th Pacific Conference on Computer Graphics and Applications, p. 104, Washington, DC, USA, (2002). IEEE Computer Society.

[5] J.M. Bishop, 'Stochastic searching networks', pp. 329-331, London, UK, (1989). Proc. 1st IEE Conf. on Artificial Neural Networks.

[6] M.A. Boden, 'Creativity in a nutshell', Think, 5(15), 83-96, (2007).

[7] M.A. Boden, Creativity and Art: Three Roads to Surprise, Oxford University Press, 2010.

[8] Gerald Borgia, 'Complex male display and female choice in the spotted bowerbird: specialized functions for different bower decorations', Animal Behaviour, 49, 1291-1301, (1995).

[9] A. Clark, Natural-born cyborgs: Minds, technologies, and the future of human intelligence, Oxford University Press, 2003.

[10] S. Cohen-Cory, 'The developing synapse: Construction and', Science, 1075510(770), 298, (2002).

[11] K. de Meyer, J. M. Bishop, and S. J. Nasuto, 'Stochastic diffusion: Using recruitment for search', Evolvability and interaction: evolutionary substrates of communication, signalling, and perception in the dynamics of social complexity (ed. P. McOwan, K. Dautenhahn & CL Nehaniv) Technical Report, 393, 60-65, (2003).

[12] R.C. Eberhart and J. Kennedy, 'A new optimizer using particle swarm theory', in Proceedings of the sixth international symposium on micro machine and human science, volume 43. New York, NY, USA: IEEE, (1995).

11 The work has also been shown in the Truman Brewery, London, UK; FILE, Sao Paulo, Brazil; FILE, Rio, Brazil; Arts Bioethics Network, Rijeka, Croatia; The National Centre for Contemporary Arts, Kaliningrad, Russia and in lastly in 2009 at MediaArtLab Center for Art and Culture, Moscow, Russia

12 The scientific value of the new hybrid algorithm is currently being investigated via standard optimisation benchmarks [2].

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