Abstract
We propose importing results from monotone game theory to model the evolution of a bacterial population under antibiotic attack. This allows considering the bacterium aging as a relevant phenomenon moving the evolution far away from the usual linear predator-prey paradigms. We obtain an almost nonparametric aging mechanism based on a thresholding operation, as an elementary intelligent operation, that may explain some typical patterns of the population evolution. In this paper we discuss both theoretical aspects and the results of a standardized procedure.
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Apolloni, B., Clivio, A., Bassis, S., Gaito, S., Malchiodi, D. (2006). An Evolution Hypothesis of Bacterial Populations. In: Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds) Neural Nets. WIRN NAIS 2005 2005. Lecture Notes in Computer Science, vol 3931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11731177_30
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DOI: https://doi.org/10.1007/11731177_30
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