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GAME OF LIFE
• Cellular Automaton devised by the British mathematician John Horton Conway in 1970.
• Simple Model imitating growth in two dimensions.
• Growth specified by the propagation rules.
• Zero Player Game: its evolution is determined by the initial state
PROPAGATION RULES
Conway’s Propagation Rules: 3/23
Each Cell has 8 neighbors
Birth (Reproduction)
( 3 live cells as neighbors)
Survival
(2/3 live cells as neighbors)
Death
Lack of live states
Overcrowding
PROPAGATION BEHAVIOR
• No explosive growth
• Small patterns lead to unpredictable outcomes
• Simple Rules
GOALS OF THE RESEARCH
• 2D and 3D competitive Game of Life
• Two Players
• Playable over the internet
• Allows players to create and use their own macros
2D VERSION OF COMPETITIVE LIFE
• Three states
• Red
• Blue
• Neutral (Dead)
• Addition of a new battle rule
• 3 cell user pad
• 10 X 10 Player area
• Individual cell control
• Macros
TYPES OF BASIC PATTERNS
STRATEGY FOR THE GAME
• Limited use of explosive growth
• Using basic still life as triggers for growth
• Surgical Strikes to destroy still life
• Use of computers as tools for pattern search
WHY PATTERN SEARCH
• Chaotic growth and decay of cells in the board
• Small changes in the patterns leads to unpredictable behavior
• Player has no control over board except the pad
• Essentially like, playing chess without knowing what the pieces do
FUTURE PLANS
• 3D version of Game of Life
• 5 States and larger pad
• New propagation rules
• Understanding the new game
• Playable online
ACKNOWLEDGEMENTS
• Hart Gillespe
• Erik Seastead
• Dyllan Shannon
• Tu Nguyen
• Dr. Ordower
• Chris Cohen
• Randolph College Summer Research Program
• Randolph College Center for Student Research
• RISE Grant
CELLULAR
COMPETITIVE
SEMI AUTOMATON
-Pujan Shrestha
Class of 2015

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Competitive cellular semi automaton poster

  • 1. GAME OF LIFE • Cellular Automaton devised by the British mathematician John Horton Conway in 1970. • Simple Model imitating growth in two dimensions. • Growth specified by the propagation rules. • Zero Player Game: its evolution is determined by the initial state
  • 2. PROPAGATION RULES Conway’s Propagation Rules: 3/23 Each Cell has 8 neighbors Birth (Reproduction) ( 3 live cells as neighbors) Survival (2/3 live cells as neighbors) Death Lack of live states Overcrowding
  • 3. PROPAGATION BEHAVIOR • No explosive growth • Small patterns lead to unpredictable outcomes • Simple Rules
  • 4. GOALS OF THE RESEARCH • 2D and 3D competitive Game of Life • Two Players • Playable over the internet • Allows players to create and use their own macros
  • 5. 2D VERSION OF COMPETITIVE LIFE • Three states • Red • Blue • Neutral (Dead) • Addition of a new battle rule • 3 cell user pad • 10 X 10 Player area • Individual cell control • Macros
  • 6.
  • 7. TYPES OF BASIC PATTERNS
  • 8. STRATEGY FOR THE GAME • Limited use of explosive growth • Using basic still life as triggers for growth
  • 9. • Surgical Strikes to destroy still life • Use of computers as tools for pattern search
  • 10. WHY PATTERN SEARCH • Chaotic growth and decay of cells in the board • Small changes in the patterns leads to unpredictable behavior • Player has no control over board except the pad • Essentially like, playing chess without knowing what the pieces do
  • 11. FUTURE PLANS • 3D version of Game of Life • 5 States and larger pad • New propagation rules • Understanding the new game • Playable online
  • 12. ACKNOWLEDGEMENTS • Hart Gillespe • Erik Seastead • Dyllan Shannon • Tu Nguyen • Dr. Ordower • Chris Cohen • Randolph College Summer Research Program • Randolph College Center for Student Research • RISE Grant