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         Cellular Automata:     more books (100)
  1. Parcella 96: Proceedings of the Seventh International Workshop on Parallel Processing by Cellular Automata and Arrays, Held in Berlin, September 16-20, 1996 (Mathematical research)
  2. Dynamical Systems and Cellular Automata by J. Demongeot, E. Goles, 1985-10
  3. Theory and Practical Issues on Cellular Automata: Proceedings of the Fourth International Conference on Cellular Automata for Research and Industry, Karlsruhe, 4-6 October 2000
  4. Parcella '90: Procedings of the 5th International Workshop on Parallel Processing by Cellular Automata and Arrays Held in Berlin, September 17-21, 1990 (Research in Informatics) by Gottfried; Schendel, Udo; Legendi, Tamas Wolf, 1990
  5. Identification Of Cellular Automata by Andrew I. Adamatzky, 1994-11-25
  6. Cellular Automata and Cooperative Systems (NATO Science Series C: (closed))
  7. ACRI '96: Proceedings of the second Conference on Cellular Automata for Research and Industry, Milan, Italy, 16-18 October 1996
  8. The Global Dynamics of Cellular Automata: An Atlas of Basin of Attraction Fields of One-Dimensional Cellular Automata (Santa Fe Institute Studies in the Sciences of Complexity Reference Volumes) by Andrew Wuensche, Mike Lesser, 1992-07
  9. The Neighbourhood Rules: Land-use Interactions, Urban Dynamics and Cellular Automata Modelling (Netherlands Geographical Studies, 334) by M.J. Hagoort, 2006
  10. Parcella '88: 4th International Workshop on Parallel Processing by Cellular Automata and Arrays Berlin, Gdr, October 17-21, 1988 Proceedings (Lecture Notes in Computer Science) by G. Wolf, T. Legendi, 1989-07
  11. Unconventional Computing 2005: From Cellular Automata to Wetware
  12. Mutual Synchronization in a Network of Digital Clocks As the Key Cellular Automaton Mechanism of Nature: Computational Model of Fundamental Physics by Simon Y. Berkovich, 1986-12
  13. Modeling Chemical Systems Using Cellular Automata by Lemont B. Kier, 2005-11-28
  14. Lattice-Gas Cellular Automata and Lattice Boltzmann Models: An Introduction (Lecture Notes in Mathematics) by Dieter A. Wolf-Gladrow, 2000-03-15

61. Cellular Automata And Music
Take computers, mathematics, and the Java Sound API, add in some Java code, and you ve got a recipe for creating some uniquely fascinating music.
Skip to main content All of dW AIX and UNIX Information Mgmt Lotus Rational Tivoli WebSphere Java technology Linux Open source SOA/Web services Web development XML dW forums University alphaWorks All of IBM
Cellular automata and music
Using the Java language for algorithmic music composition Paul D. Reiners ), Staff Software Engineer, IBM Paul Reiners works at IBM in Rochester, Minnesota, as a staff software engineer and is a Sun Certified Java Developer. Paul received his M.S. in Mathematics from the University of Illinois at Urbana-Champaign. He also attended the University of Wisconsin at Madison, where he was a record reviewer for the student newspaper, The Daily Cardinal . In his spare time, he likes to practice the piano and compete at TopCoder Summary: Take computers, mathematics, and the Java Sound API, add in some Java code, and you've got a recipe for creating some uniquely fascinating music. IBM Staff Software Engineer Paul Reiners demonstrates how to implement some basic concepts of algorithmic music composition in the Java language. He presents code examples and resulting MIDI files generated by the Automatous Monk program, which uses the open source jMusic framework to compose music based on mathematical structures called cellular automata. Tag this!

62. JCA Home
The Journal of Cellular Automata publishes highquality papers where cellular automata are studied theoretically or used as computational models of
Journal of Cellular Automata
Editor-in-Chief: Andrew Adamatzky
ISSN: 1557-5969 (print)
ISSN: 1557-5997 (online)
80 pages/issue · 6" x 9"
Issue Coverage: Volume 1 (2006) - Present
Aims and Scope
The Journal of Cellular Automata publishes high-quality papers where cellular automata are studied theoretically or used as computational models of mathematical, physical, chemical, biological, social and engineering systems.
A few examples are given in the list below, which is but a small sample of the areas of interest explored by this journal: Structure formation, heat conduction, self-reproduction, language recognition, evolutionary games, image processing, cryptography, random number generation, computational universality, traffic dynamics, neural networks, alternative discrete-physics models, population dynamics etc.
Full length original papers, short communications, reviews and tutorial articles are welcome. Abstracted and Indexed in:
Science Citation Index Expanded (also known as SciSearch®), Journal Citation Reports/Science Editions, Current Contents®/Engineering Computing and Technology, and SCOPUS.

63. Cellular Automata
Introduction to the Theory of Cellular Automata and OneDimensional Traffic Simulation Richard Cochinos Abstract. This paper is roughly divided into two parts.
Introduction to the Theory of Cellular Automata and One-Dimensional Traffic Simulation
Richard Cochinos
This paper is roughly divided into two parts. After a brief introduction, I will discuss the theory and properties underlying cellular automata. Included in this section will be a definition, a list of the physical properties, rules and rules assigning, and a description of some of the dynamical properties inherent in automata. The second section of this paper will be devoted to discussing cellular automata as a model for traffic flow. It will include a one-dimensional example and conclusions from the model.
This paper will mainly discuss the theory behind cellular automata. It is expansive, so not everything could be included. Before concluding I will work through a 1-dimentional traffic model as an example of several of the outlined concepts.
Physicists View
A cellular automaton is a discrete dynamical system. Each point in a regular spatial lattice, called a cell, can have any one of a finite number of states. The states in the cells of a lattice are updated according to a local rule. That is, the state of the cell at a given time depends only on its own state one time step previously, and the states of its nearby neighbors at the previous time step. All cells in the lattice are updated synchronously. The state of the lattice advances in discrete time steps.
Mathematicians View:
Notation: d=dimension

64. Welcome To Cafun
An application for simulating complex systems; by Andr Homeyer. Requires Java.
Download Cafun
Cafun is...
a program which enables you to create impressive simulations of complex systems in an easy way. Complex systems appear throughout all parts of our life. You can see them in form of living organisms, social groups, companies, physical processes or chemical structures. Cafun assists students and researchers in testing their theories or in visualizing a complex system for a better understanding. Furthermore, teachers can use it to teach the creation of real world models in the computer. Cafun is not limited to professional applications though. It was designed to be accessible by all people, even by those with no prior knowledge. Instead of focusing on the details Cafun tries to capture the basic features of complex systems, especially their tendency toward self-organization. Its simulations provide simple metaphors which help us to understand the driving force of form and order. Besides, Cafun is not restricted to the simulation of existing phenomena. Be creative! Feel free to model your own virtual reality and populate it with artificial life. For a brief overview about Cafun read the introduction ! It will provide you with enough information to understand what Cafun is all about. Or visit the

65. Mirek's Cellebration - 1-D And 2-D Cellular Automata Viewer, Explorer And Editor
Mirek's Cellebration, 1D and 2-D Cellular Automata viewer, explorer and editor
Welcome to Mirek's Cellebration
1D and 2D Cellular Automata explorer
by Mirek Wojtowicz
Cellular Automata
What is MCell?

CA rules lexicon

CA gallery
... Home T his site is devoted to Cellular Automata, one of the most intriguing and admirable aspects of mathematics. Perhaps you have already heard about the Game of Life, one of oldest and best-explored Cellular Automata. Game of Life is only a tip of a large cellular iceberg. Actually, the count of even simple Cellular Automata is estimated to be *much* larger then the count of particles in our Universe! I decided to explore a bit of this huge world. To do it I developed my own Cellular Automata simulator, MCell, and with help from many people I collected a big library of Cellular Automata families, rules, and patterns. You can see much of my collection on these pages. Anyhow, the pages show only a static side of Cellular Automata. Cellular Automata are in fact very dynamic, so I strongly encourage you to download the free MCell software and/or run the MJCell Java applet to see the patterns running! And then, who knows, maybe you will also add something new to the Cellular Automata world?

66. Structurally Dissolvable Self-Reproducing Loop & Evoloop
Structurally Dissolvable Self-Reproducing Loop and Evoloop, by Hiroki Sayama.
Title Image by Mari Sayama
Structurally Dissolvable Self-Reproducing Loop
Evoloop : Evolving SDSR Loop
Last modified on March 2, 2007
Binghamton University, State University of New York [What's new?] [What's the SDSR loop and the evoloop [Publications] ... [Related sites]
What's new?
My affiliation and contact info has been finally updated. Links to Wikipedia articles have been added to "Related sites"
What's the SDSR loop and the evoloop
The "Structurally Dissolvable Self-Reproducing (SDSR) loop" is an improved version of Langton's self-reproducing (SR) loop that has the ability to dissolve its own structure as well as to reproduce itself. Due to this ability it can die and disappear when it faces difficult situations such as a shortage of space for self-reproduction. The evoloop is a more elaborated version of the SDSR loop which spontaneously varies by direct interaction of phenotypes and evolves toward different species (often smaller ones) through natural selection. Everything occurs within a simple, deterministic nine-state five-neighbor cellular automata space. Evolution was made possible by the enhancement of the "adaptability" of the state-transition rules and the slight modification of initial configurations of loops. For more details refer to my PhD dissertation.

67. Cellular Automata The Plan What Are Cellular Automata? What Are
File Format PDF/Adobe Acrobat Quick View

68. Cellular Automaton
Cellular automata are the simplest models of spatially distributed processes. They consist of an array of cells, each of which is allowed to be in one of a few states.
Cellular Automata (1947-present)
Cellular automata are the simplest models of spatially distributed processes. They consist of an array of cells, each of which is allowed to be in one of a few states. At the same time, each cell looks to its neighbors to see what states they are in. Using this information each cell applies a simple rule to determine what state it should change to. This basic step is repeated over the whole array, again and again. Some of the patterns produced, by several simple cellular automata, are shown on this page.
Cellular automata were invented in the 1940's by the mathematicians John von Neuman and Stanislaw Ulam, while they were working at the Los Alamos National Laboratory in northern central New Mexico. The most famous cellular automaton is the "Game Of Life" invented by mathematician John Conway, in the 1960's. Despite the simplicity of the rules governing the changes of state as the automaton moves from one generation to the next, the evolution of such a system is complex indeed.
For interactive cellular automata simuations, go to Prof. David Griffeath's Java-based page

69. Larger Than Life; It's So Nonlinear
Kellie Michele Evans PhD thesis.
Larger than Life; it's so nonlinear
Kellie Michele Evans ' PhD thesis Please note that all of the following requires Adobe Acrobat Reader.
If you do not have the reader, you may download it now. If you have difficulty reading any of the following files, use the reader to ZOOM IN (or print the files).
Preface ... iv
Abstract ... vii
The Hyper Picture
LtL Definitions
LtL Rules With Simplifying Features Part 1 ...
return to main page

70. Isle Ex: Applet: Cellsprings/Web
A general 2D cellular automaton explorer implemented as a Java 1.1 applet. By John Elliott.
Cellsprings/Web - The New Isle Ex CA Explorer
[If your browser is Java-capable, enable Java in your browser preferences and then reload this page. The applet lancher-panel should load in place of this message.] If you see a blank rectangle above, the JAR file (169K) containing the applet's classes is downloading. Once that is loaded the applet's own messages will take over. It's recommended you refrain from clicking any links in the present browser window before the applet has finished its startup, as it will delay the initialization process and may even jeopardize its integrity. While you're waiting, please read the introductory information below. Then, after you've launched the applet's main window, the first couple of Quick Tips , accessible on the Help menu, can help you get started. Cellsprings/Web is a general 2D cellular automaton explorer implemented as a Java 1.1 applet. I've styled it an "emergetarium", because its special mission in life is to showcase the astonishing generative capacity of many simple CAs. Thus the applet favors CA rules that make the most of random and/or simple beginnings, and some of its rule presets - many discovered just within the past year - are real rags-to-riches stars. But Cellsprings/Web users are not confined to the installed rules and seeds - they can create and save such data to the server for all to access. So the applet is an emergetarium in a double sense.

71. Breeding Cellular Automata
This program animates many different kinds of cellular automata (CA) rules, and let s you breed a population of them to become increasingly complex Life
Breeding Gliders
in Cellular Automata
Breed a population of CA's to be Closer to Langton's
"Edge of Chaos", and Gliders will naturally emerge.
(Windows only :(
Check it out. This program animates many different kinds of cellular automata (CA) rules, and let's you breed a population of them to become increasingly complex Life universes, analogous to Conway's Game of Life. You can breed them such that coherent space-time structures (gliders) emerge. This breeder uses an experimental interface, in which evolutionary dynamics goes on in the background and you simply judge various CA's. As you judge them, the population evolves according to a Darwinian fitness ranking that you affect by your judgements.
The idea for this was inspired by Kirk Israel , through one of our conversations, while I was teaching a class at Tufts University in 1995. Background
For some background on Cellular Automata, check out the research of Chris Langton (Alife II proceedings, 1992). I seem to recall Karl Sims wrote something on evolving CA's (a SIGGRAPH paper, I'll look it up for next update of this page). Also see a BEAUTIFUL treatment of many classic CA's in... John Walker/Rudy Rucker's CA's . Also, a site with

72. George Maydwell's Cellular Automata Page
Home Page of SARCASim (Super Animation-Reduction CA Simulator) and ARCAL language, by George Maydwell.
George Maydwell's Cellular Automata Page
Home of SARCASim
(The Super Animation-Reduction Cellular Automata Simulator)
The Glass CA on SARCASim I'm interested in fast programmable cellular automata. This is a hobby page mostly devoted to SARCASim, first generation ARCA software for Windows. Its also a repository for odds and ends which aren't quite appropriate for my "slick" cellular automata sites, which I will attempt to direct you towards. NEWS FLASH! Here's an example of a page produced by my latest downloadable software. AuthorXY is a tool for generating simple cellular automata comparison experiments: As you can see, I've added hexagonal cellular automata support to Modern Cellular Automata making it suitable for viewing some Collidoscope rules. I've added a Hexagonal Extension to the site where many Collidoscope rules can be viewed. A new map will assist you in finding your way around the site. Collidoscope represents the next generation of ARCA, a quantum leap forward. It installs as a cellular automata screensaver and runs large hexagonal simulations at roughly sixty generations per second. Collidoscope allows anyone to surf cellular automata rule space, even if they are not aware that they are surfing. One thousand six hundred and seventy three copies of Collidoscope were downloaded from ZDNet alone in a single day when they made Collidoscope their screen saver of the day. Check out ZDNet's Collidoscope review . Released in May 2001

73. Mathematics Archives - Topics In Mathematics - Cellular Automata
KEYWORDS Complex Systems, Random Interaction, Artificial Life, Software; Tutorial on Cellular Automata ADD. KEYWORDS Game of Life, Forest Model
Topics in Mathematics Cellular Automata

74. Your Coffee Pods Supersite
An algorithmic music entity that creates evolving musical textures based upon initial parameters determined by its human composer; by Gary Bourgeois.
Your coffee pods Supersite
coffee pods for the Future
The Complete Fundamentals of coffee pods Figures
coffee pods Outline
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75. Gliders In "Life"-Like Cellular Automata
Mar 4, 2005 An online interactive database of rules with gliders, by D. Eppstein.
Which "Life"-Like Systems Have Gliders?
John Conway's "Game of Life" has fascinated and inspired many enthusiasts, due to the emergence of complex behavior from a very simple system. One of the many interesting phenomena in life is the existence of "gliders": small patterns that move across the grid. Some authors have asserted that the gliders and other complex behaviors occurring in Life are unusual, for instance Wolfram: "Except for a few simple variants on the Game of Life, no other definite class-4 two-dimensional cellular automata were found in a random sample of several thousand outer totalistic rules." Are gliders really so rare? I have investigated whether gliders exist in many semitotalistic rules similar to Life, where the behavior of a cell depends only on its own state and the number of live neighbors. The results show that the existence of gliders is commonplace, contradicting Wolfram and calling into question his classification of cellular automata Jason Summers' c/5 diagonal spaceship in Life Online interactive database of rules with gliders Paper describing my glider search program and MSRI talk on streaming video Rules with self-replicating patterns
New! Replicators in rules with B0, July 2002

76. Cellular Automata: Information From
Simplest model of a spatially distributed process that can be used to simulate various realworld processes. Cellular automata were invented in the 1940s by John von Neumann

77. Cage
A generic and extensible cellular automaton simulation engine written in Python.
Table of Contents cage
A generic and fairly complete cellular automata simulation engine.
CAGE is a fairy generic and complete cellular automaton simulation engine in Python. It supports both 1D and 2D automata, a variety of prepackaged rules, and the concept of "agents" which can move about independently on the map for implementing agent behavior. CAGE comes with numerous examples of fully-functional CA systems, including Conway's Game of Life, Langton's self-reproducing automaton, Langton's "vants," and 1D automata rule explorers. It also comes with simple displayers (including a curses interface for 2D automata). Also included is a unique implementation of a finite state machine ( Note that CAGE is implemented entirely in Python, and due to its very generalized nature, is not designed for speed. It is sufficient to update a 80x24 Conway's Game of Life grid at a few times per second on a modern machine. CAGE is intended primarily as an education toolkit, rather than an industrial-strength CA simulator.
Getting the software
The current version of cage is 1.1.4.

78. Cellular Automata (VLab Virtual Complexity Lab)
A cellular automaton (CA) is a discrete model that consists of a cellgrid, where each cell is in one of a number of well-defined states. The grid can be in any finite number

79. John Conway's Game Of Life
Java applet (with source) by Edwin Martin.

80. Game Studies 0102: Sims, BattleBots, Cellular Automata, God And Go. By Celia Pea
Sep 5, 2001 It s kind of the board game version of John Conway s Game of Life, the cellular automata game. It s not dissimilar.
the international journal of computer game research
volume 2, issue 1

July 2002
home about ... archive Celia Pearce is a game designer, artist, teacher and writer. She is the designer of the award-winning virtual reality attraction Virtual Adventures: The Loch Ness Expedition , and the author of The Interactive Book: A Guide to the Interactive Revolution (Macmillan, 1997) as well as numerous essays on game design and interactivity. She currently holds a position as Lecturer in Studio Art at the University of California Irvine's Claire Trevor School of the Arts.
Sims, BattleBots, Cellular Automata God and Go
A Conversation with Will Wright by Celia Pearce
Conducted in Will Wright's office at Maxis, September 5, 2001 CP: What is your philosophy of interactive design? WW: Ooh, a heavy question, a philosophy question. they CP: When you were first working on SimCity , what was going on in the game world at that time? Were you responding to games that were out there, were you wanting something different? Were there things that influenced you at all in the game world or were you just totally in a different mindset? Pinball Construction Set by Bill Budge which was great. He was kind of playing around with the first pre-Mac Lisa interface, which was icon-based. He actually put this in the game, even though it was an Apple 2 game. He kind of emulated what would later become the Mac interface. But it was very easy to use, and you would create pinball sets with it which you could then play with. I thought that was very cool.

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