Computational properties of two p systems solving the 3-colouring problem

Adrian Turcanu*, Florentin Ipate

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Membrane computing, the research field initiated by Gheorghe Paun in 1998, defines computational models, called P systems, inspired by the behavior and structure of the living cell. Many variants of P systems have been introduced and also used as formal modeling and verification tools. Recently, kernel P systems were introduced as an unifying framework for P systems, which integrates many features of existing P system variants into an elegant and yet powerful modeling formalism. In this paper, we consider a tissue P system with active membranes and a simple kernel P system, both of them solving an NP-complete problem, the 3-colouring problem. In order to compare these two models, we determine, for both of them, the values of the variables corresponding to the colors in a number of particular cases using MeCoSim, a membrane computing simulator, and we deduce some of their nontrivial computational properties. The two models are also implemented in Event-B and properties are formally verified using the ProB model checker associated with the Rodin platform.

Original languageEnglish
Title of host publication14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing 2012
PublisherIEEE
Pages62-69
Number of pages8
ISBN (Print)9780769549347
DOIs
Publication statusPublished - 18 Mar 2013
Event14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing 2012 - Timisoara, Romania
Duration: 26 Sept 201229 Sept 2012

Conference

Conference14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing 2012
Abbreviated titleSYNASC 2012
Country/TerritoryRomania
CityTimisoara
Period26/09/1229/09/12

Keywords

  • 3-colouring problem
  • Event-B
  • model checking
  • P system

ASJC Scopus subject areas

  • Applied Mathematics
  • Numerical Analysis

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