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An Evolution Hypothesis of Bacterial Populations

  • Bruno Apolloni
  • Alberto Clivio
  • Simone Bassis
  • Sabrina Gaito
  • Dario Malchiodi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3931)

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.

Keywords

Cellular Automaton Bacterial Population Evolution Hypothesis Single Bacterium Strength Increment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bruno Apolloni
    • 1
  • Alberto Clivio
    • 2
  • Simone Bassis
    • 3
  • Sabrina Gaito
    • 1
  • Dario Malchiodi
    • 1
  1. 1.Dipartimento di Scienze dell’InformazioneUniversità degli Studi di MilanoMilanoItaly
  2. 2.Dipartimento di Scienze Precliniche Lita VialbaUniversità degli Studi di MilanoMilanoItaly
  3. 3.Dipartimento di Matematica “Federigo Enriques”Università degli Studi di MilanoMilanoItaly

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