Hardware Implementation of a Bounded Algorithm for Application of Rules in a Transition P-System

V. Martínez, F. Arroyo, Abraham Gutierrez, Luis Fernández
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引用次数: 9

Abstract

The transition P-systems performs a computation through transition between two consecutive configurations. A configuration consists in a m-tuple of multisets present at any moment in the existing m regions of the system. Transitions between two configurations are performed by using evolution rules which are in each region of the system in a non-deterministic maximally parallel manner. This paper is part of exhaustive investigation line whose objective is to implement a hardware system that evolves as it makes a transition P-system. To achieve this objective, it has been carried out a division of this generic system in several stages. The first stage was to determine active rules in a determined configuration for the membrane. The second stage is developed by obtaining the part of the system that is in charge of the application of the active rules. To count the number of times that the active rules is applied exist different algorithms. In this paper presents an algorithm with improved aspects: the number of necessary iterations to reach the final values is perfectly defined, and their adaptation to systems with any number of rules is simple
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过渡p系统中规则应用的有界算法的硬件实现
转换p系统通过两个连续配置之间的转换来执行计算。一个组态由存在于系统现有m个区域中任意时刻的多集组成的m元组。两种配置之间的转换是通过使用演化规则来实现的,演化规则以非确定性的最大并行方式存在于系统的每个区域中。本文是详尽调查线的一部分,其目标是实现一个硬件系统,随着它向p系统过渡而发展。为了实现这一目标,对这一通用系统进行了几个阶段的划分。第一阶段是在确定的膜结构中确定活性规则。第二阶段是通过获取系统中负责主动规则应用的部分来开发的。为了计算活动规则被应用的次数,存在不同的算法。本文提出了一种改进的算法:达到最终值所需的迭代次数是完美定义的,并且它对具有任意数量规则的系统的适应性很简单
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