<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miguel A. Martínez-del-Amor</style></author><author><style face="normal" font="default" size="100%">Ignacio Pérez-Hurtado</style></author><author><style face="normal" font="default" size="100%">Manuel García-Quismondo</style></author><author><style face="normal" font="default" size="100%">Luis F. Macías-Ramos</style></author><author><style face="normal" font="default" size="100%">Luis Valencia-Cabrera</style></author><author><style face="normal" font="default" size="100%">Álvaro Romero-Jiménez</style></author><author><style face="normal" font="default" size="100%">Carmen Graciani-Díaz</style></author><author><style face="normal" font="default" size="100%">Agustín Riscos-Núñez</style></author><author><style face="normal" font="default" size="100%">M. Angels Colomer</style></author><author><style face="normal" font="default" size="100%">Mario J. Pérez-Jiménez</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">DCBA: Simulating Population Dynamics P Systems with Proportional Object Distribution</style></title><secondary-title><style face="normal" font="default" size="100%">Tenth Brainstorming Week on Membrane Computing</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Proceedings of the Tenth Brainstorming Week on Membrane Computing</style></tertiary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">DCBA</style></keyword><keyword><style  face="normal" font="default" size="100%">Membrane computing</style></keyword><keyword><style  face="normal" font="default" size="100%">P-Lingua</style></keyword><keyword><style  face="normal" font="default" size="100%">pLinguaCore</style></keyword><keyword><style  face="normal" font="default" size="100%">Population Dynamics</style></keyword><keyword><style  face="normal" font="default" size="100%">Probabilistic P systems</style></keyword><keyword><style  face="normal" font="default" size="100%">Simulation Algorithm</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">02/2012</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.gcn.us.es/10BWMC/10BWMCvolII/papers/dcba.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Fénix Editora</style></publisher><pub-location><style face="normal" font="default" size="100%">Seville, Spain</style></pub-location><volume><style face="normal" font="default" size="100%">II</style></volume><pages><style face="normal" font="default" size="100%">27-56</style></pages><abstract><style face="normal" font="default" size="100%">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
dened in order to better reproduce the behaviour of the ecosystems with the models.
BBB and DNDP are previous attempts, which dene blocks of rules having the
same left-hand side, but do not dene a deterministic behaviour when dierent rules are
competing for the same resources. That is, dierent 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.</style></abstract></record></records></xml>