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Journal ArticleDOI

Statistical mechanics of cellular automata

Stephen Wolfram
- 01 Jul 1983 - 
- Vol. 55, Iss: 3, pp 601-644
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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.

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Journal ArticleDOI

Evolutionary games on graphs

György Szabó, +1 more
- 01 Jul 2007 - 
TL;DR: The major theme of the review is in what sense and how the graph structure of interactions can modify and enrich the picture of long term behavioral patterns emerging in evolutionary games.

Universality and complexity in cellular automata

TL;DR: In this article, it was shown that all one-dimensional cellular automata fall into four distinct universality classes: limit points, limit cycles, chaotic attractors, and limit cycles.
Journal ArticleDOI

Universality and complexity in cellular automata

TL;DR: Evidence is presented that all one-dimensional cellular automata fall into four distinct universality classes, and one class is probably capable of universal computation, so that properties of its infinite time behaviour are undecidable.
BookDOI

Lattice-Gas Cellular Automata and Lattice Boltzmann Models

TL;DR: In this paper, the authors provide an introduction to lattice gas cellular automata (LGCA) and lattice Boltzmann models (LBM) for numerical solution of nonlinear partial differential equations.
Journal ArticleDOI

Non-equilibrium critical phenomena and phase transitions into absorbing states

TL;DR: In this article, a review of recent developments in non-equilibrium statistical physics is presented, focusing on phase transitions from fluctuating phases into absorbing states, the universality class of directed percolation is investigated in detail.
References
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Journal ArticleDOI

The vector string descriptor as a tool in the analysis of cellular automata systems

TL;DR: In this paper, the vector string descriptor is introduced as a tool for the analysis of cellular spaces similar to those studied by S. Ulam, which is quite straightforward to show the existence of global properties which would otherwise be very difficult to prove.
Journal ArticleDOI

Periodic Forests whose Largest Clearings are of Size 3

TL;DR: In this paper, the basic theory of periodic forests is outlined and the number of forests whose largest clearings are of size 3 is examined; their corresponding tessellations are sketched.
Journal ArticleDOI

Periodic forests whose largest clearings are of size n ≥ 4

H. G. Apsimon
TL;DR: The number of distinct periodic forests whose largest clearings are of size n is known to be 1 (n = 1), 1(n = 2), 1, 1, 2, 12, and 4 as discussed by the authors.