Non-cooperative polymorphic P systems and parallel communicating ET0L systems

Abstract We demonstrate that languages of non-cooperative polymorphic P systems with no ingredients (with no special features and no target indicators in the rules) can be generated by nonreturning parallel communicating ET0L systems, and discuss a further topic for research, namely the identification of the subclass of parallel communicating ET0L systems for which the converse of the statement holds, that is, the precise characterization of languages of non-cooperative polymorphic P systems in terms of the parallel communicating Lindenmayer system model.

Authors

Institutions

Publication Details

Journal
Journal of Membrane Computing
Published
2025-04-03
DOI
https://doi.org/10.1007/s41965-025-00185-0
Citations
1
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Non-cooperative polymorphic P systems and parallel communicating ET0L systems

György Vaszil, Anna Kuczik
1 citations
Journal of Membrane Computing
DNA and Biological Computing
0.81
article

Non-cooperative polymorphic P systems and parallel communicating ET0L systems

György Vaszil, Anna Kuczik
article en
1 citations

Abstract

Abstract We demonstrate that languages of non-cooperative polymorphic P systems with no ingredients (with no special features and no target indicators in the rules) can be generated by nonreturning parallel communicating ET0L systems, and discuss a further topic for research, namely the identification of the subclass of parallel communicating ET0L systems for which the converse of the statement holds, that is, the precise characterization of languages of non-cooperative polymorphic P systems in terms of the parallel communicating Lindenmayer system model.

Journal of Membrane ComputingVol. 7(3)
University of Debrecen (HU)
Debreceni Egyetem
Openalex Percentile: Top 29%
DNA and Biological Computing
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.