Abstract
Among the fundamental questions in computer science is that of the impact of synchronism/asynchronism on computations, which has been addressed in various fields of the discipline: in programming, in networking, in concurrence theory, in artificial learning, etc. In this paper, we tackle this question from a standpoint which mixes discrete dynamical system theory and computational complexity, by highlighting that the chosen way of making local computations can have a drastic influence on the performed global computation itself. To do so, we study how distinct update schedules may fundamentally change the asymptotic behaviors of finite dynamical systems, by analyzing in particular their limit cycle maximal period. For the message itself to be general and impacting enough, we choose to focus on a “simple” computational model which prevents underlying systems from having too many intrinsic degrees of freedom, namely elementary cellular automata. More precisely, for elementary cellular automata rules which are neither too simple nor too complex (the problem should be meaningless for both), we show that update schedule changes can lead to significant computational complexity jumps (from constant to superpolynomial ones) in terms of their temporal asymptotes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aracena, J., Fanchon, É., Montalva, M., Noual, M.: Combinatorics on update digraphs in Boolean networks. Dicr. Appl. Math. 159, 401–409 (2011)
Chapiro, D.M.: Globally-asynchronous locally-synchronous systems. PhD thesis, Stanford University (1984)
Charron-Bost, B., Mattern, F., Tel, G.: Synchronous, asynchronous, and causally ordered communication. Distrib. Comput. 9, 173–191 (1996)
Culik, K., II., Yu, S.: Undecidability of CA classification schemes. Complex Syst. 2, 177–190 (1988)
Deléglise, M., Nicolas, J.-L.: On the largest product of primes with bounded sum. J. Integer Sequences 18 15.2.8 (2015)
Demongeot, J., Sené, S.: About block-parallel Boolean networks: a position paper. Nat. Comput. 19, 5–13 (2020)
Dennunzio, A., Formenti, E., Manzoni, L., Mauri, G.: \(m\)-Asynchronous cellular automata: from fairness to quasi-fairness. Nat. Comput. 12, 561–572 (2013)
Dennunzio, A., Formenti, E., Manzoni, L., Mauri, G., Porreca, A.E.: Computational complexity of finite asynchronous cellular automata. Theoret. Comput. Sci. 664, 131–143 (2017)
Fatès, N., Morvan, M.: An experimental study of robustness to asynchronism for elementary cellular automata. Complex Syst. 16, 1–27 (2005)
Fierz, B., Poirier, M.G.: Biophysics of chromatin dynamics. Annu. Rev. Biophys. 48, 321–345 (2019)
Goles, E., Martinez, S.: Neural and automata networks: dynamical behavior and applications, volume 58 of Mathematics and Its Applications. Kluwer Academic Publishers (1990)
Goles, E., Salinas, L.: Comparison between parallel and serial dynamics of Boolean networks. Theor. Comput. Sci. 296, 247-253 (2008)
Hübner, M.R., Spector, D.L.: Chromatin dynamics. Annu. Rev. Biophys. 39, 471–489 (2010)
Ingerson, T.E., Buvel, R.L.: Structure in asynchronous cellular automata. Physica D 10, 59–68 (1984)
Kari, J.: Rice’s theorem for the limit sets of cellular automata. Theoret. Comput. Sci. 127, 229–254 (1994)
Kauffman, S.A.: Metabolic stability and epigenesis in randomly constructed genetic nets. J. Theor. Biol. 22, 437–467 (1969)
Kleene, S.C.: Automata studies, volume 34 of Annals of Mathematics Studies, chapter Representation of events in nerve nets and finite automata, pp. 3–41. Princeton Universtity Press (1956)
Kůrka, P.: Languages, equicontinuity and attractors in cellular automata. Ergodic Theory Dynam. Syst. 17, 417–433 (1997)
Li, W.: Phenomenology of nonlocal cellular automata. J. Stat. Phys. 68, 829–882 (1992)
McCulloch, W.S., Pitts, W.: A logical calculus of the ideas immanent in nervous activity. J. Math. Biophys. 5, 115–133 (1943)
Noual, M., Sené, S.: Synchronism versus asynchronism in monotonic Boolean automata networks. Nat. Comput. 17, 393–402 (2018)
Paulevé, L., Sené, S.: Systems biology modelling and analysis: formal bioinformatics methods and tools, chapter Boolean networks and their dynamics: the impact of updates. Wiley (2022)
Perrot, K., Sené, S., Tapin, L.: On countings and enumerations of block-parallel automata networks. arXiv:2304.09664 (2023)
Ríos-Wilson, M.: On automata networks dynamics: an approach based on computational complexity theory. PhD thesis, Universidad de Chile & Aix-Marseille Université (2021)
Ríos-Wilson, M., Theyssier, G.: On symmetry versus asynchronism: at the edge of universality in automata networks. arXiv:2105.08356 (2021)
Robert, F.: Itérations sur des ensembles finis et automates cellulaires contractants. Linear Algebra Appl. 29, 393–412 (1980)
Robert, F.: Discrete Iterations: A Metric Study. Springer Berlin Heidelberg, Berlin, Heidelberg (1986)
Smith, A.R., III.: Simple computation-universal cellular spaces. J. ACM 18, 339–353 (1971)
Thomas, R.: Boolean formalization of genetic control circuits. J. Theor. Biol. 42, 563–585 (1973)
von Neumann, J.: Theory of self-reproducing automata. University of Illinois Press, 1966. Edited and completed by A. W. Burks (1966)
Wolfram, S.: Universality and complexity in cellular automata. Physica D 10, 1–35 (1984)
Acknowledgments
The authors are thankful to projects ANR-18-CE40-0002 “FANs” (MRW, SS), ANID-FONDECYT 1200006 (EG), ANID-FONDECYT Postdoctorado 3220205 (MRW), MSCA-SE-101131549 “ACANCOS” (EG, IDL, MRW, SS), STIC AmSud 22-STIC-02 (EG, IDL, MRW, SS) for their funding.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Donoso Leiva, I., Goles, E., Ríos-Wilson, M., Sené, S. (2024). Asymptotic (a)Synchronism Sensitivity and Complexity of Elementary Cellular Automata. In: Soto, J.A., Wiese, A. (eds) LATIN 2024: Theoretical Informatics. LATIN 2024. Lecture Notes in Computer Science, vol 14579. Springer, Cham. https://doi.org/10.1007/978-3-031-55601-2_18
Download citation
DOI: https://doi.org/10.1007/978-3-031-55601-2_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-55600-5
Online ISBN: 978-3-031-55601-2
eBook Packages: Computer ScienceComputer Science (R0)