Journal ArticleDOI
Statistical mechanics of cellular automata
TLDR
Analysis is given of ''elementary'' cellular automata consisting of a sequence of sites with values 0 or 1 on a line, with each site evolving deterministically in discrete time steps according to p definite rules involving the values of its nearest neighbors.Abstract:
Cellular automata are used as simple mathematical models to investigate self-organization in statistical mechanics. A detailed analysis is given of "elementary" cellular automata consisting of a sequence of sites with values 0 or 1 on a line, with each site evolving deterministically in discrete time steps according to definite rules involving the values of its nearest neighbors. With simple initial configurations, the cellular automata either tend to homogeneous states, or generate self-similar patterns with fractal dimensions \ensuremath{\simeq} 1.59 or \ensuremath{\simeq} 1.69. With "random" initial configurations, the irreversible character of the cellular automaton evolution leads to several self-organization phenomena. Statistical properties of the structures generated are found to lie in two universality classes, independent of the details of the initial state or the cellular automaton rules. More complicated cellular automata are briefly considered, and connections with dynamical systems theory and the formal theory of computation are discussed.read more
Citations
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Phase Transitions in Cellular Automata.
TL;DR: In this paper, the authors introduce the notion of critical exponents, which is defined as a set of exponents that characterize the behavior of a phase transition in a macroscopic system with respect to specific values of intensive variables such as temperature or the magnetic field.
Book ChapterDOI
Discovering Coherent Structures in Nonlinear Spatial Systems
TL;DR: Vilela-Mendes et al. as mentioned in this paper used a synthesis of elementary computation and dynamical system theories to discover coherent structures in spatial systems and quantifying a pattern's complexity.
Journal ArticleDOI
A coarse-grained Monte Carlo approach to diffusion processes in metallic nanoparticles
TL;DR: In this article, a kinetic Monte Carlo approach on a coarse-grained lattice is developed for the simulation of surface diffusion processes of Ni, Pd and Au structures with diameters in the range of a few nanometers.
Proceedings ArticleDOI
Application of fuzzy logic in CA/LGCA models as a way of dealing with imprecise and vague data
TL;DR: The authors discuss how to address qualitative aspects and problems of imprecise and vague data in modelling dynamics of spread of epidemics and propose superposition of fuzzy logic with lattice gas cellular automata.
Journal ArticleDOI
A versatile hybrid agent-based, particle and partial differential equations method to analyze vascular adaptation.
TL;DR: A new modular implementation that combines the best features of an agent-based model, continuum mechanics, and particle-tracking methods to cope with the multiscale nature of the adaptation phenomena is offered.
References
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Book
Introduction to Automata Theory, Languages, and Computation
TL;DR: This book is a rigorous exposition of formal languages and models of computation, with an introduction to computational complexity, appropriate for upper-level computer science undergraduates who are comfortable with mathematical arguments.
Journal ArticleDOI
The Chemical Basis of Morphogenesis
TL;DR: In this article, it is suggested that a system of chemical substances, called morphogens, reacting together and diffusing through a tissue, is adequate to account for the main phenomena of morphogenesis.
Journal ArticleDOI
On Computable Numbers, with an Application to the Entscheidungsproblem
TL;DR: This chapter discusses the application of the diagonal process of the universal computing machine, which automates the calculation of circle and circle-free numbers.
Journal ArticleDOI
Metabolic stability and epigenesis in randomly constructed genetic nets
TL;DR: The hypothesis that contemporary organisms are also randomly constructed molecular automata is examined by modeling the gene as a binary (on-off) device and studying the behavior of large, randomly constructed nets of these binary “genes”.
Journal ArticleDOI
Diffusion-limited aggregation, a kinetic critical phenomenon
Abstract: A model for random aggregates is studied by computer simulation The model is applicable to a metal-particle aggregation process whose correlations have been measured previously Density correlations within the model aggregates fall off with distance with a fractional power law, like those of the metal aggregates The radius of gyration of the model aggregates has power-law behavior The model is a limit of a model of dendritic growth