Year: 2025
Type: article
Abstract: We investigate two classes of discrete systems: the Hopfield model with deterministic update dynamics and elementary cellular automata. We obtain a sampling of the attractor space of the Hopfield model and the complete phase space of all minimal elementary cellular automata for small lattice sizes. Starting from the maximal entropy distribution (all configurations equiprobable), we show how the dynamics affects this distribution. We then investigate how a vanishing noise alters this phase space, connecting attractors and modifying the asymptotic probability distribution. For both the Hopfield model and Cellular Automata, this modification does not always decrease the entropy.
Source: Natural Computing
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,190
Award: G1521309171
OpenAlex ID: W4413377416
