Game of Life

Summary

Summary here...

Screenshot

A screenshot of SELES simulator with the two windows of the GameOfLife model. The window on the right shows the initial distribution of live cells. For this example, the probility of initiation (pInitial, see GameOfLife.lse below) was set to 0.05. That is, a random selection of 5% of the cells are given a value of 1 (= "live"). In the left hand window, the NumNeighbs rule in GameOfLife.lse has been fired one time. Since lots of live cells have less than 3 live neighbours, many cells 'die'.

Download Model

Download the .scn, .sel and .lse files by clicking on the following link: File:GameOfLife.zip

Model Code Exploration

In the following sections we will examine all of the model files for this model. Note that instead of downloading the zip file above, you could just copy the text in the boxes below into a text editor and save it with the appropriate name (Section title). Opening the resulting .scn file in the SELES simulator would run this model.

GameOfLife.scn

Scenario Information           // This statement in the .scn file begins each and every SELES model
GameOfLife.sel                 // This line tells SELES to go and find the correct .sel model file
SimPriority Low Priority       // This line priorizes the modelling process versus other tasks your computer has going. 
                               // More information on SimPriority can be found in Scenario Reference under Simulation Control.

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GameOfLife.sel

Seles Model
Model Size: 200, 200
Time Units: na Step 1
Landscape Events:
 GameOfLife.lse
Variable-Output View Maps:
 CellState
 PrevCellState
Output Model Bounds:
 CellState: 1
 PrevCellState: 1
Global Variables:
 pInitial = 0.05
Output Frequency: 1

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GameOfLife.scn

/* This file contains a landscape event definition for Conway's Game of Life */
LSEVENT: GameOfLife
DEFINITIONS
   LAYER: CellState, PrevCellState
   GLOBAL VARIABLE: pInitial
ENDDEF
INITIALSTATE
   INITIALSTATE = 1
   CellState = IF UNIFORM(0,1) < pInitial THEN 1 ELSE 0
ENDIS
RETURNTIME
   RETURNTIME = 1
   PrevCellState = CellState
ENDRT
TRANSITIONS
  TRANSITIONS = TRUE
  numNeighbs = 0
  OVER REGION CENTRED(1,1.5, EUCLIDEAN)
     DECISION PrevCellState EQ 1
     numNeighbs = numNeighbs + 1
  ENDFN
  CellState = IF (CellState EQ 0) AND (numNeighbs EQ 3) THEN 1
             ELSE IF (CellState EQ 1) AND (2 <= numNeighbs <= 3) THEN 1
             ELSE 0
ENDTR

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Suggested Experiments

To explore this cellular automata model further, try the following:

1. Vary pInitial and see what affect this has on...
2. Change OVER REGION CENTRED to...
3. Change 'numNeighbs EQ 3' to 'numNeighbs EQ 2'; what happens?