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). © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Pescini, D., Besozzi, D., Zandron, C., & Mauri, G. (2006). Analysis and simulation of dynamics in probabilistic P systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3892 LNCS, pp. 236–247). https://doi.org/10.1007/11753681_19
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