%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 Budapest, Hungary
%K DCBA
%K Membrane computing
%K P-Lingua
%K pLinguaCore
%K Population Dynamics P systems
%K Probabilistic P systems
%K Simulation Algorithm
%P 291-310
%U http://www.sztaki.hu/tcs/proba/cmc13/CMC13-proceedings.pdf
%X Population Dynamics P systems (PDP systems, in short) refer to a formal framework for ecological modelling. The semantics of the model associates probabilities with rules, but inasmuch as the model is based on P systems, the rules are also applied in a maximally parallel way. Following the success of the first model using this framework, initially called multienvironment probabilistic P systems, several simulation algorithms have been developed in order to better reproduce the behaviour of the ecosystems being modelled. It is natural for those algorithms to classify the rules from the model into blocks, comprising rules that share identical left-hand side. Previous algorithms, such as the Binomial Block Based (BBB) or the Direct Non Deterministic distribution with Probabilities (DNDP), do not define a deterministic behaviour for blocks of rules competing for the same resources. In this paper we introduce the Direct distribution based on Consistent Blocks Algorithm (DCBA), a simulation algorithm which address that inherent non-determinism of the model by distributing proportionally the resources.
%8 08/2012
%@ 978-963-311-372-1