Abstract
T.C. Schelling’s Dynamic Model of Segregation might be one of the most known agent based models. Macroscopic segregation is caused by microscopic preference for a specific feature in the local neighborhood. Based on Schelling’s original work we derive a spatiotemporal continuous segregation model which is implemented on a swarm of thirty Elisa-3 robots. To define the neighborhood between the entities we use the density-based spatial clustering algorithm DBSCAN. Furthermore we expand the binary decision criterion to a probabilistic approach to produce a more realistic behavior. The evaluation of our extensive experiments with the swarm of robots show that a segregation effect can be reproduced with our model similar to the observations Schelling made in his work.
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Reh, B., Aller, F., Mombaur, K. (2016). A New Continuous Model for Segregation Implemented and Analyzed on Swarm Robots. In: Dorigo, M., et al. Swarm Intelligence. ANTS 2016. Lecture Notes in Computer Science(), vol 9882. Springer, Cham. https://doi.org/10.1007/978-3-319-44427-7_3
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DOI: https://doi.org/10.1007/978-3-319-44427-7_3
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