DCBA: Simulating population dynamics P systems with proportional object distribution

Miguel A. Martínez-Del-Amor, Ignacio Pérez-Hurtado, Manuel García-Quismondo, Luis F. Macías-Ramos, Luis Valencia-Cabrera, Álvaro Romero-Jiménez, Carmen Graciani, Agustín Riscos-Núñez, Mari A. Colomer, Mario J. Pérez-Jiménez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Population Dynamics P systems provide a formal framework for ecological modelling having a probabilistic (while keeping the maximal parallelism). Several simulation algorithms have been developed always trying to reach higher reliability in the way they reproduce the behaviour of the ecosystems being modelled. It is natural for those algorithms to classify the rules 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 addresses that inherent non-determinism of the model by distributing proportionally the resources.

Original languageEnglish (US)
Title of host publicationMembrane Computing - 13th International Conference, CMC 2012, Revised Selected Papers
Pages257-276
Number of pages20
DOIs
StatePublished - 2012
Event13th International Conference on Membrane Computing, CMC 2012 - Budapest, Hungary
Duration: Aug 28 2012Aug 31 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7762 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Membrane Computing, CMC 2012
CountryHungary
CityBudapest
Period8/28/128/31/12

Keywords

  • DCBA
  • Membrane Computing
  • P-Lingua
  • Population Dynamics P systems
  • Probabilistic P systems
  • Simulation Algorithm
  • pLinguaCore

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