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Book ChapterDOI

On the rule complexity of universal tissue p systems

TLDR
It is shown that 8 rules suffice to recognise any recursively enumerable language if splicing tissue P systems are considered, and that this language cannot be described in terms of membranes or objects.
Abstract
In the last time several attempts to decrease different complexity parameters (number of membranes, size of rules, number of objects etc.) of universal P systems were done. In this article we consider another parameter which was not investigated yet: the number of rules. We show that 8 rules suffice to recognise any recursively enumerable language if splicing tissue P systems are considered.

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Citations
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Journal ArticleDOI

Small universal spiking neural P systems.

TL;DR: In this paper, the authors considered the case of spiking neural P systems (SNP systems), in two variants: as devices that compute functions and as generators of sets of numbers, and they found a universal system with restricted rules having 76 neurons and one with extended rules having 50 neurons.
Book ChapterDOI

A formal framework for static (tissue) P systems

TL;DR: A formal general framework for static membrane systems that aims to capture most of the essential features of (tissue) P systems and to define their functioning in a formal way is introduced.
Journal ArticleDOI

Computational power of tissue P systems for generating control languages

TL;DR: It is proved that tissue P systems with antiport rules of weight one and without symport rules characterize regular languages and that the rule complexity is crucial for tissues P systems to achieve a desired computational power.
Journal ArticleDOI

The complexity of small universal Turing machines: A survey

TL;DR: In this paper, it was shown that the smallest known universal Turing machines of Minsky, Rogozhin, Baiocchi and Kudlek are efficient simulators of Turing machines.
Journal Article

Smaller Universal Spiking Neural P Systems

TL;DR: This paper improves in the number of neurons used in the study of small universal spiking neural P systems, which use 67 neurons for standard rules and 41 neurons for extended rules in the case of computing functions.
References
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Book

Introduction to Automata Theory, Languages, and Computation

TL;DR: This book is a rigorous exposition of formal languages and models of computation, with an introduction to computational complexity, appropriate for upper-level computer science undergraduates who are comfortable with mathematical arguments.
Journal ArticleDOI

Computing with Membranes

TL;DR: It is proved that the P systems with the possibility of objects to cooperate characterize the recursively enumerable sets of natural numbers; moreover, systems with only two membranes suffice.
Book

Introduction To Automata Theory, Languages And Computation, 3Rd Edition

TL;DR: The introduction to formal languages and automata wasolutionary rather than rcvolrrtionary and addressed Initially, I felt that giving solutions to exercises was undesirable hecause it lirrritcd the Chapter 1 fntroduction to the Theory of Computation.
Book

DNA Computing: New Computing Paradigms

TL;DR: This book starts with an introduction to DNA computing, exploring the power of complementarity, the basics of biochemistry, and language and computation theory, and brings the reader to the most advanced theories develop thus far in this emerging research area.