6533b86cfe1ef96bd12c8d97

RESEARCH PRODUCT

Diagrammatic approach to cellular automata and the emergence of form with inner structure

Vladimir García-morales

subject

Theoretical computer scienceStructure (category theory)Physical systemFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)01 natural sciences010305 fluids & plasmasOperator (computer programming)0103 physical sciences010306 general physicsTopology (chemistry)Mathematical PhysicsMathematicsComplement (set theory)Numerical AnalysisHierarchy (mathematics)Applied MathematicsCellular Automata and Lattice Gases (nlin.CG)Mathematical Physics (math-ph)Nonlinear Sciences - Pattern Formation and SolitonsCellular automatonNonlinear Sciences - Adaptation and Self-Organizing SystemsDiagrammatic reasoningModeling and SimulationAlgorithmAdaptation and Self-Organizing Systems (nlin.AO)Nonlinear Sciences - Cellular Automata and Lattice Gases

description

We present a diagrammatic method to build up sophisticated cellular automata (CAs) as models of complex physical systems. The diagrams complement the mathematical approach to CA modeling, whose details are also presented here, and allow CAs in rule space to be classified according to their hierarchy of layers. Since the method is valid for any discrete operator and only depends on the alphabet size, the resulting conclusions, of general validity, apply to CAs in any dimension or order in time, arbitrary neighborhood ranges and topology. We provide several examples of the method, illustrating how it can be applied to the mathematical modeling of the emergence of order out of disorder. Specifically, we show how the the majority CA rule can be used as a building block to construct more complex cellular automata in which separate domains (with substructures having different dynamical properties) are able to emerge out of disorder and coexist in a stable manner.

10.1016/j.cnsns.2018.02.041http://arxiv.org/abs/1605.06937