%0 Generic
%D 2012
%T DCBA: Simulating Population Dynamics P Systems with Proportional Object Distribution
%A Miguel A. Martínez-del-Amor
%A Ignacio Pérez-Hurtado
%A Manuel García-Quismondo
%A Luis F. Macías-Ramos
%A Luis Valencia-Cabrera
%A Álvaro Romero-Jiménez
%A Carmen Graciani-Díaz
%A Agustín Riscos-Núñez
%A M. Angels Colomer
%A Mario J. Pérez-Jiménez
%C Seville, Spain
%I Fénix Editora
%K DCBA
%K Membrane computing
%K P-Lingua
%K pLinguaCore
%K Population Dynamics
%K Probabilistic P systems
%K Simulation Algorithm
%P 27-56
%S Proceedings of the Tenth Brainstorming Week on Membrane Computing
%U http://www.gcn.us.es/10BWMC/10BWMCvolII/papers/dcba.pdf
%V II
%X Population Dynamics P systems refer to a formal framework for ecological modelling. The semantics of the model associates probabilities to rules, but at the same time, the model is based on P systems, so the rules are applied in a maximally parallel way. Since the success of the rst model using this framework [5], initially called multienvironment probabilistic P systems, several simulation algorithms have been dened in order to better reproduce the behaviour of the ecosystems with the models. BBB and DNDP are previous attempts, which dene blocks of rules having the same left-hand side, but do not dene a deterministic behaviour when dierent rules are competing for the same resources. That is, dierent blocks of rules present in their left- hand side common objects, being applicable at the same time. In this paper, we introduce a new simulation algorithm, called DCBA, which performs a proportional distribution of resources.
%8 02/2012