Analysing Couples (131, X) Under Temporally Stochastic Environment

dc.contributor.authorPatel, Prem
dc.contributor.authorNaik, Het
dc.contributor.authorShah, Hetvi
dc.contributor.authorPatel, Twisha
dc.contributor.authorPatel, Manushree
dc.contributor.authorRoy, Souvik
dc.date.accessioned2026-10-21T09:23:10Z
dc.date.issued2026-02-01
dc.description.abstractTo understand the effect of temporal mixing in cellular automata, this study considers temporally stochastic couples (131, X) where elementary cellular automata 131 acts as a blind rule and X comes from the set of the rest elementary cellular automata rules. Overall, the result shows that periodic rule 131 is associated with a tendency to generate chaotic phenomena under the temporally stochastic environment. To understand the microscopic reason, here, we analyse the following situations (a) couple (131, 50) where two periodic rules together show chaotic dynamics for any mixing rate
dc.description.abstract(b) couple (131, 78) where it is possible to observe class change (from chaos to simplicity) for changing mixing rate
dc.description.abstractand (c) couple (131, 136) where this probabilistic system shows important phase transition dynamics. This study also classifies couples (131, X) based on these different interesting behaviours which guides towards overall dynamics of temporally stochastic elementary systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
dc.identifier.citationPatel, Prem, Naik, Het, Shah, Hetvi, Patel, Twisha, Patel, Manushree, Adak, S., & Roy, Souvik (2026). Analysing Couples (131, X) Under Temporally Stochastic Environment. In Hazari R., Jose J., & Das S. (Eds.), Commun. Comput. Info. Sci.: 2801 CCIS (pp. 116–129). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-18612-6_9
dc.identifier.doihttps://link.springer.com/chapter/10.1007/978-3-032-18612-6_9
dc.identifier.issn1865-0929
dc.identifier.issn1865-0937
dc.identifier.urihttps://ir.ahduni.edu.in/handle/123456789/8223
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.schoolSchool of Engineering and Applied Science
dc.sourceCommunications in Computer and Information Science
dc.subjectChaos
dc.subjectClass transition
dc.subjectElementary Cellular Automata (ECA)
dc.subjectPhase transition
dc.titleAnalysing Couples (131, X) Under Temporally Stochastic Environment
dc.typeConference Proceedings

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