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.

An evolution hypothesis of bacterial populations / B. Apolloni, A. Clivio, S. Bassis, S.T. Gaito, D. Malchiodi - In: Neural Nets / [a cura di] B. Apolloni, M. Marinaro, G. Nicosia, R. Tagliaferri. - Berlin : Springer, 2006. - ISBN 978-3-540-33183-4. - pp. 214-230

An evolution hypothesis of bacterial populations

B. Apolloni
Primo
;
A. Clivio
Secondo
;
S. Bassis;S.T. Gaito
Penultimo
;
D. Malchiodi
Ultimo
2006

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.
Settore BIO/13 - Biologia Applicata
Settore INF/01 - Informatica
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/214113
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