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

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-dimensio...

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Bibliographic Details
Main Authors: Fernandes, C. M., Mora, A., Merelo, J. J., Rosa, A. C.
Format: Conference Proceeding
Language:English
Subjects:
Abstracts
Ant Algorithms
Clustering algorithms
Generative Art
Image color analysis
Mathematical model
Sleep
Swarm Art
Vectors
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Summary: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.
DOI:10.1109/ICoCS.2012.6458508