TY - JOUR
T1 - Probabilistic guarded P systems, a new formal modelling framework
AU - García-Quismondo, Manuel
AU - Martínez-Del-Amor, Miguel A.
AU - Pérez-Jiménez, Mario J.
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Modelling Framework
KW - Multienvironment P systems
KW - Probabilistic Guarded P systems
UR - http://www.scopus.com/inward/record.url?scp=84919619516&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-14370-512
DO - 10.1007/978-3-319-14370-512
M3 - Article
AN - SCOPUS:84919619516
SN - 0302-9743
VL - 8961
SP - 194
EP - 214
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -