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Cellular Automata Machines: A New Environment for Modeling

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Recently, cellular automata machines with the size, speed, and flexibility for general experimentation at a moderate cost have become available to the scientific community. These machines provide a laboratory in which the ideas presented in this book can be tested and applied to the synthesis of a great variety of systems. Computer scientists and researchers interested in modeling and simulation as well as other scientists who do mathematical modeling will find this introduction to cellular automata and cellular automata machines (CAM) both useful and timely. Cellular automata are the computer scientist's counterpart to the physicist's concept of 'field' They provide natural models for many investigations in physics, combinatorial mathematics, and computer science that deal with systems extended in space and evolving in time according to local laws. A cellular automata machine is a computer optimized for the simulation of cellular automata. Its dedicated architecture allows it to run thousands of times faster than a general-purpose computer of comparable cost programmed to do the same task. In practical terms this permits intensive interactive experimentation and opens up new fields of research in distributed dynamics, including practical applications involving parallel computation and image processing.ContentsIntroduction Cellular Automata The CAM Environment A Live Demo The Rules of the Game Our First rules Second-order Dynamics The Laboratory Neighbors and Neighborhood Running Particle Motion The Margolus Neighborhood Noisy Neighbors Display and Analysis Physical Modeling Reversibility Computing Machinery Hydrodynamics Statistical Mechanics Other Applications Imaging Processing Rotations Pattern Recognition Multiple CAMS Perspectives and ConclusionsCellular Automata Machines is included in the Scientific Computation Series, edited by Dennis Cannon.OCLC-licensed vendor bibliographic record.

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Detail Information

Series Title

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Call Number

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Publisher

Cambridge, Mass. : : MIT Press,., 1987

Collation

1 online resource (ix, 259 pages) :illustrations.

Language

English

ISBN/ISSN

9780262291019

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Cellular automata.
Mathematical statistics.

Specific Detail Info

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Statement of Responsibility

Tommaso Toffoli, Norman Margolus.

Other Information

Cataloger

imron

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Digital Object Identifier (DOI)

https://doi.org/10.7551/mitpress/1763.001.0001

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