Model checking for distributed reaction systems with temporal-epistemic properties

Abstract Reaction systems are a model of computation inspired by the biochemistry exhibited by living cells. This paper introduces the notion of agency as an extension to the reaction systems formalism, leading to distributed reaction systems. Adding agents in the reaction systems setting, allows for the natural modelling and representation of multi-agent and distributed systems. To support the specification of temporal-epistemic properties of distributed reaction systems, we introduce the logic rs ctlk and present experimental results of its associated model checking procedure run on a biological benchmark of within-cell signal transduction networks. The experimental results are encouraging despite the complexity of the rs ctlk model checking problem that is shown to be pspace -complete.

Authors

Institutions

Publication Details

Journal
Natural Computing
Published
2025-11-05
DOI
https://doi.org/10.1007/s11047-025-10044-7
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Model checking for distributed reaction systems with temporal-epistemic properties

Marcin Piątkowski, Łukasz Mikulski, Wojciech Penczek, Maciej Koutny et al.
Natural Computing
DNA and Biological Computing
article

Model checking for distributed reaction systems with temporal-epistemic properties

Marcin Piątkowski, Łukasz Mikulski, Wojciech Penczek, Maciej Koutny, Ion Petre, Artur Męski
article en

Abstract

Abstract Reaction systems are a model of computation inspired by the biochemistry exhibited by living cells. This paper introduces the notion of agency as an extension to the reaction systems formalism, leading to distributed reaction systems. Adding agents in the reaction systems setting, allows for the natural modelling and representation of multi-agent and distributed systems. To support the specification of temporal-epistemic properties of distributed reaction systems, we introduce the logic rs ctlk and present experimental results of its associated model checking procedure run on a biological benchmark of within-cell signal transduction networks. The experimental results are encouraging despite the complexity of the rs ctlk model checking problem that is shown to be pspace -complete.

Natural ComputingVol. 24(4)
University of Turku (FI), Nicolaus Copernicus University (PL), Institute of Computer Science (PL), Vector Oncology (United States) (US), University of Warsaw (PL), Newcastle University (GB), Polish Academy of Sciences (PL)
Openalex Percentile: Top 71%
DNA and Biological Computing
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.