1992Proceedings of the American Mathematical SocietyOpen access

Attractors in Restricted Cellular Automata

Mike Hurley

Open full text 3 citations

Abstract

The goal of this note is to extend previous results about the dynamics of cellular automata to "restricted cellular automata." Roughly speaking, a cellular automaton is a rule that updates a configuration of "states" that are arranged along the integer lattice in $\mathbb {R}$. In applications one often thinks of one of these states as "blank" or "quiescent," while the other "active" states evolve against a quiescent background. Often the physically relevant configurations are those with only a finite number of active states. If ${X_0}$ is the set of all such states, and if a cellular automaton maps ${X_0}$ to ${X_0}$, then its restriction to ${X_0}$ is a restricted cellular automaton. The main results show that there are rather strong constraints on the collection of attractors for any restricted cellular automaton. These constraints parallel those described in [H1] for the unrestricted case.

Open-access reader

About this research paper

What this paper is about

The goal of this note is to extend previous results about the dynamics of cellular automata to "restricted cellular automata." Roughly speaking, a cellular automaton is a rule that updates a configuration of "states" that are arranged along the integer lattice in $\mathbb {R}$. In applications one often thinks of one of these states as "blank" or "quiescent," while the other "active" states evolve against a quiescent background. Often the physically relevant configurations are those with only a finite number of active states. If ${X_0}$ is the set of all such states, and if a cellular automaton maps ${X_0}$ to ${X_0}$, then its restriction to ${X_0}$ is a restricted cellular automaton. The main results show that there are rather strong constraints on the collection of attractors for any restricted cellular automaton. These constraints parallel those described in [H1] for the unrestricted case.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The goal of this note is to extend previous results about the dynamics of cellular automata to "restricted cellular automata." Roughly speaking, a cellular automaton is a rule that updates a configuration of "states" that are arranged along the integer lattice in $\mathbb {R}$. In applications one often thinks of one of these states as "blank" or "quiescent," while the other "active" states evolve against a quiescent background. Often the physically relevant configurations are those with only a finite number of active states. If ${X_0}$ is the set of all such states, and if a cellular automaton maps ${X_0}$ to ${X_0}$, then its restriction to ${X_0}$ is a restricted cellular automaton. The main results show that there are rather strong constraints on the collection of attractors for any restricted cellular automaton. These constraints parallel those described in [H1] for the unrestricted case.

Key concepts: Cellular automaton, Reversible cellular automaton, Block cellular automaton, Continuous automaton, Stochastic cellular automaton, Mobile automaton, Asynchronous cellular automaton, Elementary cellular automaton

Related papers

Back to paper searchBrowse research topicsOriginal source
Attractors in Restricted Cellular Automata — Research Paper | ScholarLens