The computational properties of P systems with mutative membrane structures

IF 0.8 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Information and Computation Pub Date : 2025-01-27 DOI:10.1016/j.ic.2025.105277
Bosheng Song , Chuanlong Hu , David Orellana-Martín , Antonio Ramírez-de-Arellano , Mario J. Pérez-Jiménez , Xiangxiang Zeng
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引用次数: 0

Abstract

Membrane computing is a subfield of nature-inspired computing studying computational models named P systems, where several rules (division rules, dissolving rules, merging rules, creation rules, separation rules, etc) for evolving the membrane structure were considered in many variants of P systems, and most of these variants employ at most two of these types of rules. In this article, we combine budding rules, fusion rules, dissolving rules, division rules (both for non-elementary membrane and elementary membranes), therefore a mutative type of P systems, termed cell-like P systems with mutative membrane structures (CMMS P systems) are defined. We discuss the computational properties of CMMS P systems. More specifically, CMMS P systems are shown to be Turing universal by integrating some types of rules. Moreover, we prove that CMMS P systems can also effectively solve the SAT problem.
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来源期刊
Information and Computation
Information and Computation 工程技术-计算机:理论方法
CiteScore
2.30
自引率
0.00%
发文量
119
审稿时长
140 days
期刊介绍: Information and Computation welcomes original papers in all areas of theoretical computer science and computational applications of information theory. Survey articles of exceptional quality will also be considered. Particularly welcome are papers contributing new results in active theoretical areas such as -Biological computation and computational biology- Computational complexity- Computer theorem-proving- Concurrency and distributed process theory- Cryptographic theory- Data base theory- Decision problems in logic- Design and analysis of algorithms- Discrete optimization and mathematical programming- Inductive inference and learning theory- Logic & constraint programming- Program verification & model checking- Probabilistic & Quantum computation- Semantics of programming languages- Symbolic computation, lambda calculus, and rewriting systems- Types and typechecking
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