2014Unpublished venueRequires access

A Weakly Universal Cellular Automaton on the Heptagrid with Three States

Maurice Margenstern

Open publisher page 5 citations

Abstract

In this paper, we improve previous results giving the construction of a weakly universal cellular automaton on the heptagrid. Here we obtain such a cellular automaton with three states only. Our cellular automaton makes use of the railway circuit model to which we give here several important changes.

About this research paper

What this paper is about

In this paper, we improve previous results giving the construction of a weakly universal cellular automaton on the heptagrid. Here we obtain such a cellular automaton with three states only. Our cellular automaton makes use of the railway circuit model to which we give here several important changes.

Why it matters

OpenAlex reports 5 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

In this paper, we improve previous results giving the construction of a weakly universal cellular automaton on the heptagrid. Here we obtain such a cellular automaton with three states only. Our cellular automaton makes use of the railway circuit model to which we give here several important changes.

Key concepts: Cellular automaton, Continuous automaton, Block cellular automaton, Asynchronous cellular automaton, Reversible cellular automaton, Computer science, Stochastic cellular automaton, Automaton

Related papers

Back to paper searchBrowse research topicsOriginal source
A Weakly Universal Cellular Automaton on the Heptagrid with Three States — Research Paper | ScholarLens