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Titlebook: Membrane Computing; 11th International C Marian Gheorghe,Thomas Hinze,Arto Salomaa Conference proceedings 2011 Springer Berlin Heidelberg 2

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The Family of Languages Generated by Non-cooperative Membrane Systemsgredients. The fundamental nature of these basic systems makes it possible to also define the corresponding family of languages in terms of derivation trees of context-free grammars. We also compare this family to the well-known language families and discuss its properties. An example of a language
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Polymorphic P Systems the rules of every region are defined by the contents of interior regions, rather than being explicitly specified in the description of the system. This idea is inspired by the von Neumann’s concept of “program is data” and also related to the research direction proposed by Gh. Păun about the cell
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Membrane Systems Working in Generating and Accepting Modes: Expressiveness and Encodingstems working in accepting mode with that of membrane systems working in generating mode. Features like determinism, presence of promoters and of cooperative rules are considered. The comparison between some of the considered classes of membrane systems is carried out by defining encodings of one cla
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BioSimWare: A Software for the Modeling, Simulation and Analysis of Biological Systemsng from cellular processes to population phenomena. BioSimWare implements several stochastic algorithms to simulate the dynamics of single or multi-volume models, as well as automatic tools to analyze the effect of variation of the system parameters. BioSimWare supports SBML format, and can automati
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Modeling Population Growth of Pyrenean Chamois (Rupicapra p. pyrenaica) by Using P-Systemsnd relevant way. In previous works, several ecosystems modeled by using P systems were presented. The good results obtained encourage us to study new ecosystems such as the one presented in this paper. Pyrenean Chamois (.) is an ungulate species inhabiting the Catalan Pyrenees. In recent years, seve
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Computationally Complete Spiking Neural P Systems without Delay: Two Types of Neurons Are Enough of the same type if the rules, the number of spikes in the initial configuration and the number of outgoing synapses are identical. We show that computational completeness can be achieved in both the generating and the accepting case with only two types of neurons, where the number of neurons with
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An Integrated Approach to P Systems Formal Verificationchecker, against a Kripke structure representation. The method is applied to a basic class of P systems with transformation and communication rules using either maximal parallelism or asynchronous rewriting strategy and for a special variant of P systems with electrical charges, but without active m
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