Social Sciences and Humanities > Home > Art and Science > Issue 1 > Article
Carlos M. Fernandes
LARSyS - University of Lisbon
Portugal
Published on 18 October 2017 DOI : 10.21494/ISTE.OP.2017.0179
This paper provides technical and conceptual information on a swarm art project called Sleep Paintings.
The project consists of a series of colour images generated by an ant-based clustering algorithm operating with sleep
data sets extracted from electroencephalogram (EEG) signals. The algorithm was originally proposed for clustering and
classification and is described by a simple set of equations that model the local behavior of artificial ants (data samples)
in a way that, when travelling on a heterogeneous 2-dimensional lattice of vectors, they form clusters of similar data
samples, while changing the vectors of the environmental lattice. The 2-dimensional colored abstract sketches of human
sleep described in the paper result from the visualization of the lattice.
This paper provides technical and conceptual information on a swarm art project called Sleep Paintings.
The project consists of a series of colour images generated by an ant-based clustering algorithm operating with sleep
data sets extracted from electroencephalogram (EEG) signals. The algorithm was originally proposed for clustering and
classification and is described by a simple set of equations that model the local behavior of artificial ants (data samples)
in a way that, when travelling on a heterogeneous 2-dimensional lattice of vectors, they form clusters of similar data
samples, while changing the vectors of the environmental lattice. The 2-dimensional colored abstract sketches of human
sleep described in the paper result from the visualization of the lattice.
swarm art generative artificial ants ant algorithms data analysis sleep
swarm art generative artificial ants ant algorithms data analysis sleep