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Swarm art with KANTS: Using an ant clustering algorithm for generating abstract paintings

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4 Author(s)
Fernandes, C.M. ; Dept. of Comput. Archit. & Technol., Univ. of Granada, Granada, Spain ; Mora, A. ; Merelo, J.J. ; Rosa, A.C.

This paper describes an ant-based clustering algorithms and suggests its application as a swarm art conceptual tool. The algorithm, called KANTS, consists on a set of equations that model the local behavior of simple units (ants) that represent data samples. When moving on a heterogeneous 2-dimensional lattice of vectors, global behavior emerges from the local interaction between the ants, which self-organize into clusters. In this paper, KANTS is used outside a purely scientific framework. The algorithm is applied to two different types of data (sleep Electroencephalogram signals and colored photographs) for generating 2-dimensional abstract representations of those sets of data. We call the images pherogenic drawings, since they are a visual representation of the algorithm's pheromone maps. The method is contextualized within the swarm art field as well as within the authors' previous works on swarm art.

Published in:

Complex Systems (ICCS), 2012 International Conference on

Date of Conference:

5-6 Nov. 2012