Classification of Cellular Automata Using Asymmetry Graphs

Scientific Study from the year 2016 in the subject Mathematics - Miscellaneous, University of California, San Francisco, language: English, abstract: A method, using asymmetry graphs, both classifies and determines information flow patterns in a one-dimensional cellular automaton. The method presents a graphical representation of information flow in cellular automata using the eXclusive OR (XOR) relationship of the digits of the binary representation of the Wolfram number of the cellular automaton.