A sequential solution to the density classification task using an intermediate alphabet

Autor: Perrotin, Pacôme, Balbi, Pedro Paulo, Ruivo, Eurico
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: We present a sequential cellular automaton of radius 2 1 as a solution to the density classification task that makes use of an intermediate alphabet, and converges to a clean fixed point with no remaining auxiliary or intermediate information. We extend this solution to arbitrary finite alphabets and to configurations in higher dimensions.
Databáze: arXiv