Martínez del Amor, Miguel ÁngelPérez Hurtado de Mendoza, IgnacioGarcía Quismondo, ManuelMacías Ramos, Luis FelipeValencia Cabrera, LuisRomero Jiménez, ÁlvaroGraciani Díaz, CarmenRiscos Núñez, AgustínColomer, M. AngelsPérez Jiménez, Mario de Jesús2016-02-042016-02-042012978-84-940056-6-4http://hdl.handle.net/11441/34064Population 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 lefthand 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.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Membrane ComputingPopulation DynamicsSimulation AlgorithmProbabilistic P systemsDCBAP-LinguapLinguaCoreinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess