Probabilistic guarded P systems, a new formal modelling framework

Manuel García-Quismondo, Miguel A. Martínez-Del-Amor, Mario J. Pérez-Jiménez

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Multi environment P systems constitute a general, formal framework for modelling the dynamics of population biology, which consists of two main approaches: stochastic and probabilistic. The framework has been successfully used to model biologic systems at both micro (e.g. bacteria colony) and macro (e.g. real ecosystems) levels, respectively.

In this paper, we extend the general framework in order to include a new case study related to P. Oleracea species. The extension is made by a new variant within the probabilistic approach, called Probabilistic Guarded P systems (in short, PGP systems). We provide a formal definition, a simulation algorithm to capture the dynamics, and a survey of the associated software.

Original languageEnglish (US)
Pages (from-to)194-214
Number of pages21
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8961
DOIs
StatePublished - Jan 1 2014

Keywords

  • Modelling Framework
  • Multienvironment P systems
  • Probabilistic Guarded P systems

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