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  • © 2010

Game of Life Cellular Automata

  • Simple to understand examples of cellular automata dynamics
  • Abundance of illustrations, working examples, and codes
  • Efficient techniques for evaluating space-time dynamics of discrete non-linear systems
  • References to online interacting demonstrations
  • Overview of exciting concepts at the edge of mathematics, computer science, engineering and physics
  • Includes supplementary material: sn.pub/extras

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Table of contents (27 chapters)

  1. Front Matter

    Pages I-XIX
  2. Historical

    1. Front Matter

      Pages 9-9
    2. Conway’s Life

      • Harold V. McIntosh
      Pages 17-33
    3. Life’s Still Lifes

      • Harold V. McIntosh
      Pages 35-50
    4. A Zoo of Life Forms

      • Harold V. McIntosh
      Pages 51-68
  3. Classical Topics

    1. Front Matter

      Pages 69-69
  4. Classical topics

    1. Constraint Programming to Solve Maximal Density Still Life

      • Geoffrey Chu, Karen Elizabeth Petrie, Neil Yorke-Smith
      Pages 167-175
  5. Asynchronous, Continuous and Memory-Enriched Automata

    1. Front Matter

      Pages 177-177
  6. Asynchronous, Continuous and Memory-Enriched Automata

    1. RealLife

      • Marcus Pivato
      Pages 223-234
    2. Variations on the Game of Life

      • Ferdinand Peper, Susumu Adachi, Jia Lee
      Pages 235-255
    3. Does Life Resist Asynchrony?

      • Nazim Fatès
      Pages 257-274
    4. LIFE with Short-Term Memory

      • Ramón Alonso-Sanz
      Pages 275-290
    5. Localization Dynamics in a Binary Two-Dimensional Cellular Automaton: The Diffusion Rule

      • Genaro J. Martínez, Andrew Adamatzky, Harold V. McIntosh
      Pages 291-315

About this book

In the late 1960s British mathematician John Conway invented a virtual mathematical machine that operates on a two-dimensional array of square cell. Each cell takes two states, live and dead. The cells’ states are updated simultaneously and in discrete time. A dead cell comes to life if it has exactly three live neighbours. A live cell remains alive if two or three of its neighbours are alive, otherwise the cell dies. Conway’s Game of Life became the most programmed solitary game and the most known cellular automaton. The book brings together results of forty years of study into computational, mathematical, physical and engineering aspects of The Game of Life cellular automata. Selected topics include phenomenology and statistical behaviour; space-time dynamics on Penrose tilling and hyperbolic spaces; generation of music; algebraic properties; modelling of financial markets; semi-quantum extensions; predicting emergence; dual-graph based analysis; fuzzy, limit behaviour and threshold scaling; evolving cell-state transition rules; localization dynamics in quasi-chemical analogues of GoL; self-organisation towards criticality; asynochrous implementations. The volume is unique because it gives a comprehensive presentation of the theoretical and experimental foundations, cutting-edge computation techniques and mathematical analysis of the fabulously complex, self-organized and emergent phenomena defined by incredibly simple rules.

Reviews

From the reviews:

“This volume’s 27 papers offer some systematic methods and rigorous theorems that exhibit the study of Conway’s game and its variations, emerging out of the realm of merely recreational mathematics. … this unique book will have great value as both a state-of-the-art summary and a collection of proposals for new directions to explore. Summing Up: Highly recommended. Upper-division undergraduates through professionals.” (D. V. Feldman, Choice, Vol. 48 (4), December, 2010)

“Andrew Adamatzky has assembled a superb collection of papers on Life that encompass work going back more than 20 years. … maintains a good balance between interconnectedness and recognition of the papers as independent contributions. … This book is a treasure trove of history, concepts, and models. It is a good starting place for a newcomer to the study of Conway’s Game of Life, an opening of vistas for the amateur hobbyist, and a serious handbook for the professional researcher.” (Anthony J. Duben, ACM Computing Reviews, February, 2011)

Editors and Affiliations

  • Fac. of Computing, Engineering and, Mathematical Sciences (CEMS), University of the West of England, Bristol, United Kingdom

    Andrew Adamatzky

About the editor

Andrew Adamatzky is a Professor in Unconventional Computing in the Department of Computer Science, and a member of Bristol Robotics Lab. He does research in reaction-diffusion computing, cellular automata, physarum computing, massive parallel computation, applied mathematics, collective intelligence and robotics.

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access