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Analysis and Simulation of Dynamics in Probabilistic P Systems

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DNA Computing (DNA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3892))

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Abstract

We introduce dynamical probabilistic P systems, a variant where probabilities associated to the rules change during the evolution of the system, as a new approach to the analysis and simulation of the behavior of complex systems. We define the notions for the analysis of the dynamics of these systems and we show an application for the investigation of the properties of the Brusselator (a simple scheme for the Belousov-Zhabothinskii reaction).

Work supported by the Italian Ministry of University (MIUR), under project PRIN-04 “Systems Biology: modellazione, linguaggi e analisi (SYBILLA)”.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126, Milano, Italy

    Dario Pescini, Claudio Zandron & Giancarlo Mauri

  2. Dipartimento di Informatica e Comunicazione, Università degli Studi di Milano, Via Comelico 39, 20135, Milano, Italy

    Daniela Besozzi

Authors
  1. Dario Pescini
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  2. Daniela Besozzi
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  3. Claudio Zandron
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  4. Giancarlo Mauri
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Université Pierre et Marie Curie, INSERM U511,, 91 Boulevard de L’Hôpital, 75013, Paris, France

    Alessandra Carbone

  2. California Institute of Technology, Applied and Computational Mathematics, Bioengineering,, MC 114-96, 91125, Pasadena, CA, USA

    Niles A. Pierce

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© 2006 Springer-Verlag Berlin Heidelberg

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Pescini, D., Besozzi, D., Zandron, C., Mauri, G. (2006). Analysis and Simulation of Dynamics in Probabilistic P Systems. In: Carbone, A., Pierce, N.A. (eds) DNA Computing. DNA 2005. Lecture Notes in Computer Science, vol 3892. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11753681_19

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  • DOI: https://doi.org/10.1007/11753681_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34161-1

  • Online ISBN: 978-3-540-34165-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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