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Ponencia
A P System Modeling an Ecosystem Related to the Bearded Vulture
(Fénix Editora, 2008)
The Bearded Vulture is one of the rarest raptors in Europe and it is an endangered species. In this paper, we present a model of an ecosystem related with the Bearded Vulture which is located in the Catalan Pyrenees, by ...
Ponencia
Solving the Partition Problem by Using Tissue-like P Systems with Cell Division
(Fénix Editora, 2008)
Tissue-like P systems with cell division is a computing model in the framework of Membrane Computing that shares with the spiking neural P system model a similar biological inspiration. Namely, both models are based on ...
Ponencia
A First Model for Hebbian Learning with Spiking Neural P Systems
(Fénix Editora, 2008)
Spiking neural P systems and artificial neural networks are computational devices which share a biological inspiration based on the transmission of information among neurons. In this paper we present a first model for ...
Ponencia
Testing Einstein’s Formula on Brownian Motion Using Membrane Computing
(Fénix Editora, 2008)
Brownian motion refers to erratic movements of small particles of solid matter suspended in a fluid and it is the basis of the development of many fractals found in Nature. In this paper we use the Membrane Computing ...
Ponencia
P-Lingua: A Programming Language for Membrane Computing
(Fénix Editora, 2008)
Software development for cellular computing has already been addressed, yielding a first generation of applications. In this paper, we develop a new programming language: P-Lingua. Furthermore, we present a simulator for ...
Ponencia
Graphics and P Systems: Experiments with JPLANT
(Fénix Editora, 2008)
The hand-made graphical representation of the configuration of a P system becomes a hard task when the number of membranes and objects increases. In this paper we present a new software tool, called JPLANT, for computing ...
Ponencia
Solving Numerical NP-complete Problems by Spiking Neural P Systems with Pre–computed Resources
(Fénix Editora, 2008)
Recently we have considered the possibility of using spiking neural P systems for solving computationally hard problems, under the assumption that some (possibly exponentially large) pre-computed resources are given in ...