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Membrane Computing (Tutorial)

机译:膜计算(教程)

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摘要

The aim of the tutorial is to give a general overview of the Membrane Computing paradigm [2,5]. Membrane Computing is a quite active research field, initiated by Gh. Paun in 1998 [3]. It is a theoretical machine-oriented model, where the computational devices (known as P systems) are in some sense an abstraction of a living cell. There exist a large number of different definitions of P systems, but most of them share some common features: a membrane structure (defining in a natural way a number of regions or compartments), and an alphabet of objects that are able to evolve and/or move within the membrane structure according to a set of rules (emulating the way substances undergo biochemical reactions in a cell). Many of the first P systems specifications that were investigated proved to be universal or computationally complete (i.e. equivalent to Turing Machines). Besides, the quest for efficiency has been another research direction, yielding in many cases cellular solutions to NP-complete problems working in polynomial time (making a space-time trade-off and using the inherent massive parallelism of P systems). The first session of the tutorial will formalize these concepts, presenting a computational complexity theory for Membrane Computing.
机译:本教程的目的是提供膜计算范式的一般概述[2,5]。膜计算是一个非常活跃的研究领域,由GH启动。 1998年的Paun [3]。它是一种理论上是机器导向的模型,其中计算设备(称为P系统)是某种感知活细胞的抽象。存在大量不同的P系统定义,但大多数分享了一些共同特征:膜结构(以自然方式定义多个区域或隔间),以及能够发展和/的物体的字母表或根据一组规则(模拟在细胞中发生生物化学反应的物质)的膜结构内移动。调查的许多第一个P系统规范被证明是普遍的或计算完整的(即相当于图灵机)。此外,效率的追求是另一种研究方向,在许多情况下屈服于多项式时间内的NP完全问题的细胞解决方案(制作空间时间折衷和使用P系统的固有巨大并行性)。本教程的第一届会议将形成这些概念,呈现用于膜计算的计算复杂性理论。

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