Evolution of a multi-agent system in a cyclical environment |
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Authors: | Tiago Baptista Ernesto Costa |
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Institution: | (1) CISUC, Department of Informatics Engineering, University of Coimbra, Polo II, Pinhal de Marrocos, 3030-290 Coimbra, Portugal |
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Abstract: | The synchronisation phenomena in biological systems is a current and recurring subject of scientific study. This topic, namely
that of circadian clocks, served as inspiration to develop an agent-based simulation that serves the main purpose of being
a proof-of-concept of the model used in the BitBang framework, that implements a modern autonomous agent model. Despite having
been extensively studied, circadian clocks still have much to be investigated. Rather than wanting to learn more about the
internals of this biological process, we look to study the emergence of this kind of adaptation to a daily cycle. To that
end we implemented a world with a day/night cycle, and analyse the ways the agents adapt to that cycle. The results show the
evolution of the agents’ ability to gather food. If we look at the total number of agents over the course of an experiment,
we can pinpoint the time when reproductive technology emerges. We also show that the agents adapt to the daily cycle. This
circadian rhythm can be shown by analysing the variation on the agents metabolic rate, which is affected by the variation
of their movement patterns. In the experiments conducted we can observe that the metabolic rate of the agents varies according
to the daily cycle. |
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Keywords: | Artificial life Emergence Circadian rhythm |
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