An analysis of correlative and static causality in p systems

Authors:
Roberto Pagliarini;Oana Agrigoroaiei;Gabriel Ciobanu;Vincenzo Manca
Affiliations:
Telethon Institute of Genetics and Medicine, Naples, Italy;Institute of Computer Science, Romanian Academy, Romania;Institute of Computer Science, Romanian Academy, Romania;Computer Science Dept., Verona University, Verona, Italy
Venue:
CMC'12 Proceedings of the 13th international conference on Membrane Computing
Year:
2012

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Abstract

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.