@article {1894,
	title = {Probabilistic Guarded P Systems, A New Formal Modelling Framework},
	journal = {Lecture Notes in Computer Science},
	volume = {8961},
	year = {2014},
	pages = {194-214},
	publisher = {Springer},
	address = {Amsterdam, The Netherlands},
	abstract = {Multienvironment 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.},
	issn = {0302-9743},
	url = {http://link.springer.com/chapter/10.1007\%2F978-3-319-14370-5_12},
	author = {Manuel Garc{\'\i}a-Quismondo and Miguel A. Mart{\'\i}nez-del-Amor and Mario J. P{\'e}rez-Jim{\'e}nez}
}
