System theoretic approach of information processing in nested cellular automata
Neural and Evolutionary Computing
2022-10-13 v1
Abstract
The subject of this paper is the evolution of the concept of information processing in regular structures based on multi-level processing in nested cellular automata. The essence of the proposed model is a discrete space-time containing nested orthogonal space-times at its points. The factorization of the function describing the global behavior of a system is the key element of the mathematical description. Factorization describes the relations of physical connections, signal propagation times and signal processing to global behavior. In the model appear expressions similar to expressions used in the Special Relativity Theory.
Cite
@article{arxiv.2210.06052,
title = {System theoretic approach of information processing in nested cellular automata},
author = {Jerzy Szynka},
journal= {arXiv preprint arXiv:2210.06052},
year = {2022}
}
Comments
10 pages, 10 figures