An Analysis of Correlative and Static Causality in P Systems

  • Roberto Pagliarini
  • Oana Agrigoroaiei
  • Gabriel Ciobanu
  • Vincenzo Manca
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7762)


In this paper we present two approaches, namely correlative and static causality, to study cause-effect relationships in reaction models and we propose a framework which integrates them in order to study causality by means of transition P systems. The proposed framework is based on the fact that statistical analysis can be used to building up a membrane model which can be used to analyze causality relationships in terms of multisets of objects and rules in presence of non-determinism and parallelism. We prove that the P system which is defined by means of correlation analysis provides a correspondence between the static and correlative notions of causality.


Membrane System Static Causality Cascade Model Cdc2 Kinase Membrane Computing 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Roberto Pagliarini
    • 1
  • Oana Agrigoroaiei
    • 2
  • Gabriel Ciobanu
    • 2
  • Vincenzo Manca
    • 3
  1. 1.Telethon Institute of Genetics and MedicineNaplesItaly
  2. 2.Institute of Computer ScienceRomanian AcademyRomania
  3. 3.Computer Science Dept.Verona UniversityVeronaItaly

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