Direct Counting Analysis on Network Generated by Discrete Dynamics
Shu-Hao Liou, Chia-Chu Chen

TL;DR
This paper investigates the in-degree distribution of cellular automata networks through exact enumeration and transfer matrix methods, revealing deviations from multiscaling and size dependence for certain rules.
Contribution
It introduces a detailed enumeration approach and transfer matrix augmentation to analyze in-degree distributions in cellular automata networks, including size dependence insights.
Findings
Large deviation from multiscaling in ID
Distribution dependence on lattice size for some rules
Method extends to complex cellular automata rules
Abstract
A detail study on the In-degree Distribution (ID) of Cellular Automata is obtained by exact enumeration. The results indicate large deviation from multiscaling and classification according to ID are discussed. We further augment the transfer matrix as such the distributions for more complicated rules are obtained. Dependence of In-degree Distribution on the lattice size have also been found for some rules including R50 and R77.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
