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稳态组织类P系统

Homeostasis Tissue-Like P Systems.

作者信息

Luo Yueguo, Zhao Yuzhen, Chen Changchuan

出版信息

IEEE Trans Nanobioscience. 2021 Jan;20(1):126-136. doi: 10.1109/TNB.2020.3025921. Epub 2020 Dec 30.

DOI:10.1109/TNB.2020.3025921
PMID:32960765
Abstract

Tissue P systems provide distributed parallel devices inspired by actual biological reality, where communication rules are used for object exchange between cells (or between cells and the environment). In such systems, the environment continuously provides energy to cells, so the cells are very dependent on the objects in the environment. In biology, there is a mechanism called homeostasis, that is, an internal organism is independent from the external conditions, thus keeping itself relatively stable. Inspired by this biological fact, in this paper, we assume that the environment no longer provides energy for cells, introducing multiset rewriting rules into tissue P systems, thereby constructing a novel computational model called homeostasis tissue-like P systems. Based on the model, we construct two uniform solutions in feasible time. One solution is constructed to solve the 3-coloring problem in linear time in standard time, and the other solution is constructed to solve the SAT problem with communication rules and multiset rewriting rules of the length at most 3 in time-free mode. Moreover, we prove that the constructed system can generate any Turing computable set of numbers using communication rules and multiset rewriting rules with a maximal length 3, working in the mode of standard time and time-free, respectively. The results show that our constructed system does not rely on the environment and reflects the phenomenon of biological homeostasis. In addition, although the system runs in time-free way, it not only has Turing university, but also can effectively solve NP-complete problem.

摘要

组织P系统提供了受实际生物现实启发的分布式并行设备,其中通信规则用于细胞之间(或细胞与环境之间)的对象交换。在这样的系统中,环境持续为细胞提供能量,因此细胞非常依赖环境中的对象。在生物学中,有一种称为稳态的机制,即生物体内在独立于外部条件,从而保持自身相对稳定。受这一生物学事实的启发,在本文中,我们假设环境不再为细胞提供能量,将多重集重写规则引入组织P系统,从而构建了一种称为稳态类组织P系统的新型计算模型。基于该模型,我们在可行时间内构造了两种统一的解决方案。一种解决方案被构造用于在标准时间内以线性时间解决三色问题,另一种解决方案被构造用于在无时间模式下用长度至多为3的通信规则和多重集重写规则解决SAT问题。此外我们证明,所构建的系统可以分别在标准时间和无时间模式下,使用长度最大为3的通信规则和多重集重写规则生成任何图灵可计算的数集。结果表明,我们构建的系统不依赖于环境,反映了生物稳态现象。此外,尽管该系统以无时间方式运行,但它不仅具有图灵通用性,而且能够有效地解决NP完全问题。

相似文献

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Homeostasis Tissue-Like P Systems.稳态组织类P系统
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引用本文的文献

1
An improved multi-view spectral clustering based on tissue-like P systems.基于组织样 P 系统的改进的多视图谱聚类。
Sci Rep. 2022 Nov 3;12(1):18616. doi: 10.1038/s41598-022-20358-6.