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Presentation
Population Dynamics P Systems on CUDA
(Springer, 2012)
Population Dynamics P systems (PDP systems, in short) provide a new formal bio-inspired modeling framework, which has been successfully used by ecologists. These models are validated using software tools against actual ...
Chapter of Book
A MzScheme Implementation of Transition P Systems
(Springer, 2003)
The main goal of this paper is to present the design of an MzScheme program that allows us to simulate the behavior of transition P systems. For that, a library of procedures have been developed that work in two stages. ...
Chapter of Book
Graphical Modeling of Higher Plants Using P Systems
(Springer, 2006)
L systems have been widely used to model and graphically represent the growth of higher plants [20]. In this paper we continue developing the framework introduced in [21], which make use of the topology of membrane ...
Chapter of Book
A bio-inspired software for segmenting digital images.
(2010)
Segmentation in computer vision refers to the process of partitioning a digital image into multiple segments (sets of pixels). It has several features which make it suitable for techniques inspired by nature. It can be ...
Chapter of Book
Attacking the Common Algorithmic Problem by Recognizer P Systems
(Springer, 2005)
Many NP-complete problems can be viewed as special cases of the Common Algorithmic Problem (CAP). In a precise sense, which will be defined in the paper, one may say that CAP has a property of local universality. In ...
Chapter of Book
Spiking Neural P Systems: A Short Introduction and New Normal Forms
(Editorial Academiei, 2012)
Spiking neural P systems are a class of P systems inspired from the way the neurons communicate with each other by means of electrical impulses (called \spikes"). In the few years since this model was introduced, many ...
Chapter of Book
Towards Probabilistic Model Checking on P Systems Using PRISM
(Springer, 2006)
This paper presents the use of P systems and π-calculus to model interacting molecular entities and how they are translated into a probabilistic and symbolic model checker called PRISM.
Chapter of Book
Modeling Signal Transduction Using P Systems
(Springer, 2006)
Cellular signalling pathways are fundamental to the control and regulation of cell behavior. Understanding of biosignalling network functions is crucial to the study of different diseases and to the design of effective ...
Chapter of Book
Computationally Hard Problems Addressed Through P Systems
(Springer, 2006)
In this chapter we present a general framework to provide efficient solutions to decision problems through families of cell-like membrane systems constructed in a semi-uniform way (associating with each instance of the ...
Presentation
A P–Lingua Based Simulator for Spiking Neural P Systems
(Springer, 2011)
The research within the field of Spiking Neural P systems (SN P systems, for short) is focusing mainly in the study of the computational completeness (they are equivalent in power to Turing machines) and computational ...