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Mostrando ítems 11-17 de 17
Artículo
Efficient simulation of tissue-like P systems by transition cell-like P systems
(Springer, 2009)
In the framework of P systems, it is known that the construction of exponential number of objects in polynomial time is not enough to efficiently solve NP-complete problems. Nonetheless, it could be sufficient to create ...
Artículo
Computational complexity of tissue-like P systems
(Elsevier, 2010)
Artículo
A software tool for verification of Spiking Neural P Systems
(Springer, 2008)
The formal verification of a Spiking Neural P System (SN P Systems, for short) designed for solving a given problem is usually a hard task. Basically, the verification process consists of the search of invariant formulae ...
Artículo
Computational Efficiency of Cellular Division in Tissue-like Membrane Systems
(Romanian Academy, 2008)
Tissue-like P systems with cell division are computing models in the framework of membrane computing. They are inspired by the intercellular communication and neuronal synaptics, their structures being formalized ...
Artículo
Efficient computation in rational-valued P systems
(Cambridge University Press, 2009)
In this paper, we describe a new representation for deterministic rational-valued P systems that allows us to form a bridge between membrane computing and linear algebra. On the one hand, we prove that an efficient ...
Artículo
A Decade of Ecological Membrane Computing Applications
(IMCS: International Membrane Computing Society, 2018)
A short summary of recent ecological modelling applications within mem- brane computing developed by the Research Group on Natural Computing (RGNC) is presented here. A timeline of models presented in the last 10 years ...
Artículo
Spiking neural P systems with extended rules: universality and languages
(Springer, 2008)
We consider spiking neural P systems with rules allowed to introduce zero, one, or more spikes at the same time. The motivation comes both from constructing small universal systems and from generating strings; previous ...