https://doi.org/10.1140/epjs/s11734-026-02501-w
Regular Article
A decade of research at the Gdansk School of Cellular Automata
1
Faculty of Mathematics, Physics and Informatics, University of Gdansk, Wita Stwosza 57, 80-308, Gdansk, Poland
2
Jit Team, Luzycka 8C, 81-537, Gdynia, Poland
3
Gemini Polska, Gdansk, Poland
4
KERMIT, Department of Data Analysis and Mathematical Modeling, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, 9000, Ghent, Belgium
a
This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
31
December
2025
Accepted:
19
June
2026
Published online:
2
July
2026
Abstract
The Gdansk School of Cellular Automata has, over the last decade, developed a coherent program that bridges theory with exploratory computation. We review results on (i) identifying cellular automata from partial, noisy observations, (ii) affine continuous cellular automata (ACCAs) and their links to stochastic and deterministic rules, (iii) relaxed density classification using ACCAs, (iv) parity classification bounds and constructive single-rule solutions, and (v) number-conserving and state-conserving cellular automata across uniform, non-uniform, and non-square grids, including split-and-perturb decompositions, graph-based enumerations, reversible subclasses, and traffic-like particle-flow rules. The survey is written in the spirit of Prof. Danuta Makowiec’s emphasis on combining rigorous analysis with computational experimentation, and is intended to serve both as a guide for newcomers and as a reference point for future work.
© The Author(s) 2026
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

