Unblocked Work ((better)) - Conways Game Of Life
Conway's Game of Life is a "zero-player game" and a cornerstone of cellular automata research, demonstrating how complex, lifelike behavior can emerge from simple, deterministic rules Core Mechanics and Rules
The "game" takes place on an infinite 2D grid of square cells, where each cell is either "alive" or "dead". At each discrete time step (generation), the state of every cell is updated simultaneously based on its eight immediate neighbors (the Moore neighborhood): ResearchGate Let's BUILD a COMPUTER in CONWAY's GAME of LIFE
Conway’s Game of Life: How to Play Unblocked at Work or School
Conway’s Game of Life is a classic "zero-player" cellular automaton that has fascinated mathematicians and programmers for decades. Because it is browser-based and lightweight, it has become a popular choice for those looking to engage in a logic-based "game" during breaks at school or work. What is Conway’s Game of Life?
Created by British mathematician John Horton Conway in 1970, the simulation takes place on an infinite grid of square cells. Each cell is in one of two states: alive or dead. The evolution of these cells is determined entirely by their initial state, requiring no further input from the user. Core Rules of the Game
The simulation progresses in "generations," where the state of every cell is updated simultaneously based on its eight immediate neighbors:
Underpopulation: Any live cell with fewer than two live neighbors dies. conways game of life unblocked work
Survival: Any live cell with two or three live neighbors lives on to the next generation.
Overpopulation: Any live cell with more than three live neighbors dies.
Reproduction: Any dead cell with exactly three live neighbors becomes a live cell. Top Unblocked Sites to Play
Many work and school environments use filters that block gaming sites. However, educational and open-source hosting platforms often remain accessible. You can find "unblocked" versions of Conway's Game of Life on these reliable platforms: Wikipediahttps://en.wikipedia.org
Playing Conway’s Game of Life at work is typically easier than traditional gaming because it is often hosted on educational or portfolio sites that bypass standard corporate filters. Unblocked Browser Versions
These sites are frequently accessible in professional environments: Conway's Game of Life is a "zero-player game"
PlayGameOfLife.com: A dedicated, clean interface for quick simulation.
Academo.org: Categorized as an educational tool, making it less likely to be flagged by IT filters.
Copy.sh (Breeder 1): A high-performance version capable of simulating massive, complex patterns.
SamCodes.co.uk: An open-source WebGL implementation that includes preset patterns from LifeWiki.
ScienceDemos.org.uk: Provides simple speed and zoom controls for easy viewing. Discrete Gameplay Options
Chrome Extension: You can install the Game of Life Extension from the Chrome Web Store to play directly in your browser toolbar. What is Conway’s Game of Life
Minimalist Sites: Versions like Kyle Paulsen's or Sean McManus's have low visual overhead, making them look more like a coding project than a game. The "Rules" for Success Play John Conway's Game of Life More information. Videos about the Game of Life. John Conway's Game of Life Breeder 1 - Conway's Game of Life
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<title>Conway's Game of Life - Unblocked | Cellular Automaton</title>
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transform: scale(0.97);
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.status
display: flex;
justify-content: space-between;
align-items: baseline;
background: #0b1018;
padding: 8px 18px;
border-radius: 60px;
margin: 12px 10px 0 10px;
font-family: monospace;
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font-size: 0.9rem;
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display: flex;
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<body>
<div>
<div class="game-container">
<canvas id="gameCanvas" width="800" height="600"></canvas>
<div class="controls">
<button id="startBtn">▶ PLAY</button>
<button id="pauseBtn">⏸ PAUSE</button>
<button id="stepBtn">⏩ STEP</button>
<button id="randomBtn">🎲 RANDOM</button>
<button id="clearBtn">🗑 CLEAR</button>
<button id="gliderBtn">✈️ GLIDER GUN</button>
</div>
<div class="status">
<span>🟢 Generation: <span id="generationCount">0</span></span>
<span>🧬 Population: <span id="populationCount">0</span></span>
<div class="speed-slider">
<span>🐢</span>
<input type="range" id="speedSlider" min="50" max="500" value="150" step="5">
<span>🐇</span>
<span id="speedValue">150</span><span>ms</span>
</div>
</div>
<footer>
⚡ Conway's Game of Life — Click cells to toggle | Auto evolves with classic rules: B3/S23
</footer>
</div>
</div>
<script>
(function()
// ---------- CONFIGURATION ----------
const canvas = document.getElementById('gameCanvas');
const ctx = canvas.getContext('2d');
// Grid dimensions (optimized for performance & visibility)
const CELL_SIZE = 8; // pixels per cell
const COLS = Math.floor(canvas.width / CELL_SIZE); // 100 cols for 800px
const ROWS = Math.floor(canvas.height / CELL_SIZE); // 75 rows for 600px
// Game state
let grid = Array(ROWS).fill().map(() => Array(COLS).fill(false));
let generation = 0;
let animationId = null;
let isRunning = false;
let intervalDelay = 150; // ms per generation (default)
// DOM elements
const startBtn = document.getElementById('startBtn');
const pauseBtn = document.getElementById('pauseBtn');
const stepBtn = document.getElementById('stepBtn');
const randomBtn = document.getElementById('randomBtn');
const clearBtn = document.getElementById('clearBtn');
const gliderBtn = document.getElementById('gliderBtn');
const speedSlider = document.getElementById('speedSlider');
const speedSpan = document.getElementById('speedValue');
const generationSpan = document.getElementById('generationCount');
const populationSpan = document.getElementById('populationCount');
// ---------- UTILITIES ----------
function updateUI()
generationSpan.innerText = generation;
let pop = 0;
for(let r = 0; r < ROWS; r++)
for(let c = 0; c < COLS; c++)
if(grid[r][c]) pop++;
populationSpan.innerText = pop;
// Draw grid with glow effect
function draw()
ctx.clearRect(0, 0, canvas.width, canvas.height);
// Draw background subtle grid lines
ctx.strokeStyle = '#1e2a3a';
ctx.lineWidth = 0.5;
for(let row = 0; row <= ROWS; row++)
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ctx.moveTo(0, row * CELL_SIZE);
ctx.lineTo(canvas.width, row * CELL_SIZE);
ctx.stroke();
ctx.beginPath();
ctx.moveTo(row * CELL_SIZE, 0);
ctx.lineTo(row * CELL_SIZE, canvas.height);
ctx.stroke();
// Draw living cells
for(let row = 0; row < ROWS; row++)
for(let col = 0; col < COLS; col++)
if(grid[row][col])
// neon green / cyan living cells
const gradient = ctx.createRadialGradient(
col * CELL_SIZE + 2, row * CELL_SIZE + 2, 2,
col * CELL_SIZE + 4, row * CELL_SIZE + 4, CELL_SIZE/1.5
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gradient.addColorStop(0, '#6eff9e');
gradient.addColorStop(1, '#1f9e4a');
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ctx.fillRect(col * CELL_SIZE, row * CELL_SIZE, CELL_SIZE-0.5, CELL_SIZE-0.5);
// subtle inner highlight
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ctx.globalAlpha = 0.3;
ctx.fillRect(col * CELL_SIZE + 1, row * CELL_SIZE + 1, CELL_SIZE-2, CELL_SIZE-2);
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// dead cell faint dot
ctx.fillStyle = '#11161f';
ctx.fillRect(col * CELL_SIZE, row * CELL_SIZE, CELL_SIZE-0.5, CELL_SIZE-0.5);
// count live neighbors with toroidal (wrap-around) - classic but can also be bounded, let's do bounded edges (non-toroidal) more standard
// but actually "unblocked" and typical game of life uses bounded grid with edges = dead.
function countNeighbors(row, col)
let liveNeighbors = 0;
for(let dr = -1; dr <= 1; dr++)
for(let dc = -1; dc <= 1; dc++)
if(dr === 0 && dc === 0) continue;
const newRow = row + dr;
const newCol = col + dc;
if(newRow >= 0 && newRow < ROWS && newCol >= 0 && newCol < COLS)
if(grid[newRow][newCol]) liveNeighbors++;
return liveNeighbors;
// Compute next generation based on Conway's rules (B3/S23)
function computeNextGeneration()
const newGrid = Array(ROWS).fill().map(() => Array(COLS).fill(false));
let changed = false;
for(let row = 0; row < ROWS; row++)
for(let col = 0; col < COLS; col++)
const neighbors = countNeighbors(row, col);
const isAlive = grid[row][col];
if(isAlive) neighbors === 3)
newGrid[row][col] = true;
else
newGrid[row][col] = false;
changed = true;
else
// Birth: exactly 3 neighbors -> becomes alive
if(neighbors === 3)
newGrid[row][col] = true;
changed = true;
else
newGrid[row][col] = false;
grid = newGrid;
if(changed) generation++;
return changed;
// Step one generation forward
function stepGeneration()
const changed = computeNextGeneration();
updateUI();
draw();
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// if no changes and simulation running, auto pause to save CPU
stopSimulation();
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updateUI();
// ---------- SIMULATION LOOP ----------
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function simulationStep()
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stepGeneration();
// schedule next step with current delay
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simulationStep();
, intervalDelay);
function startSimulation()
if(isRunning) return;
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simulationStep();
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// reset simulation and clear timer
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// manual step also pauses auto simulation
function manualStep()
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stepGeneration();
// ---------- GRID MANIPULATION ----------
function randomizeGrid(fillFraction = 0.18)
stopSimulation();
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for(let col = 0; col < COLS; col++)
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generation = 0;
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draw();
function clearGrid()
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for(let row = 0; row < ROWS; row++)
for(let col = 0; col < COLS; col++)
grid[row][col] = false;
generation = 0;
updateUI();
draw();
// famous Gosper Glider Gun (compact version adapted to grid size)
function placeGliderGun()
stopSimulation();
clearGrid();
// Gosper glider gun pattern coordinates (relative to top-left 40x30)
// classic pattern offset to fit in canvas (centered but within bounds)
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const gunPattern = [
[1,5],[1,6],[2,5],[2,6],[11,5],[11,6],[11,7],[12,4],[12,8],[13,3],[13,9],[14,3],[14,9],
[15,6],[16,4],[16,8],[17,5],[17,6],[17,7],[18,6],[21,3],[21,4],[21,5],[22,3],[22,4],[22,5],
[23,2],[23,6],[25,1],[25,2],[25,6],[25,7],[35,3],[35,4],[36,3],[36,4]
];
for(let [dx, dy] of gunPattern)
const row = offsetY + dy;
const col = offsetX + dx;
if(row >= 0 && row < ROWS && col >= 0 && col < COLS)
grid[row][col] = true;
generation = 0;
updateUI();
draw();
// Toggle cell on click
function handleCanvasClick(e)
const rect = canvas.getBoundingClientRect();
const scaleX = canvas.width / rect.width;
const scaleY = canvas.height / rect.height;
const mouseX = (e.clientX - rect.left) * scaleX;
const mouseY = (e.clientY - rect.top) * scaleY;
const col = Math.floor(mouseX / CELL_SIZE);
const row = Math.floor(mouseY / CELL_SIZE);
if(row >= 0 && row < ROWS && col >= 0 && col < COLS)
// if simulation running, pause on manual edit to avoid confusion
const wasRunning = isRunning;
if(wasRunning) stopSimulation();
grid[row][col] = !grid[row][col];
updateUI();
draw();
if(wasRunning)
// optional: restart? better not, user might want to edit, but we can leave paused.
// provide clarity: editing pauses simulation.
// speed slider handler
function updateSpeed()
intervalDelay = parseInt(speedSlider.value, 10);
speedSpan.innerText = intervalDelay;
if(isRunning)
// restart simulation with new speed
const wasRunning = true;
stopSimulation();
startSimulation();
// ---------- INITIALIZATION & RESIZE robustness ----------
function init()
// default: random pattern with moderate density
randomizeGrid(0.12);
// event listeners
canvas.addEventListener('click', handleCanvasClick);
startBtn.addEventListener('click', () =>
if(!isRunning) startSimulation();
);
pauseBtn.addEventListener('click', () =>
if(isRunning) pauseSimulation();
);
stepBtn.addEventListener('click', manualStep);
randomBtn.addEventListener('click', () =>
randomizeGrid(0.16);
);
clearBtn.addEventListener('click', clearGrid);
gliderBtn.addEventListener('click', placeGliderGun);
speedSlider.addEventListener('input', updateSpeed);
// initial draw
updateUI();
draw();
// extra safety: stop on page hide (optional performance)
window.addEventListener('beforeunload', () =>
if(timeoutId) clearTimeout(timeoutId);
);
init();
)();
</script>
</body>
</html>
What is Conway’s Game of Life?
Before you click "play," it helps to appreciate the beauty of the simulation. Devised by British mathematician John Conway in 1970, the "Game of Life" is actually a zero-player game. This means that its evolution is determined by its initial state, requiring no further input from you.
It is played on an infinite two-dimensional grid of square cells, where each cell is in one of two possible states: alive or dead. Every cell interacts with its eight neighbors. The simulation follows four simple rules:
- Underpopulation: Any live cell with fewer than two live neighbors dies (as if caused by underpopulation).
- Survival: Any live cell with two or three live neighbors lives on to the next generation.
- Overpopulation: Any live cell with more than three live neighbors dies (as if by overpopulation).
- Reproduction: Any dead cell with exactly three live neighbors becomes a live cell.
From these four simple rules, immense complexity arises. You see "gliders" soaring across the screen, "guns" shooting out new cells, and massive oscillators pulsing in rhythm. It is a fascinating look at how complex systems can emerge from simple logic.
What Does “Unblocked Work” Mean?
The phrase "Conway's Game of Life unblocked work" refers to finding or creating a version of the simulation that:
- Bypasses network-level DNS filters
- Does not require installation (runs in a browser)
- Uses safe, modern web technologies (HTML5, Canvas, JavaScript)
- Avoids proxy detection lists
In short, you want the full cellular automaton experience without triggering your IT department’s alarms.
3. The "Coder" Method (Best for Work)
If you have a job that involves coding or technical writing, you might have access to tools that can run the game directly.
- Repl.it / Glitch: These are coding environments. You can go to these sites, start a new HTML/JS project, and paste in the code for a Game of Life simulation. These domains are rarely blocked because they are productivity tools.
- Excel: Yes, you can run Conway's Game of Life inside Microsoft Excel using conditional formatting and macros. This is the ultimate "stealth" method because it looks like you are just staring at a spreadsheet.
Minimal, self-contained examples
- Single-file HTML + JavaScript (open locally)
- Description: save as life.html and open in your browser. Works fully offline; no external resources.
- Example (outline — put inside a file):
<!doctype html>
<html>
<head><meta charset="utf-8"><title>Life — Local</title>
<style>
canvasimage-rendering:pixelated;border:1px solid #222
</style>
</head>
<body>
<canvas id="c"></canvas>
<script>
const rows=80, cols=120, scale=6;
const canvas=document.getElementById('c'); canvas.width=cols*scale; canvas.height=rows*scale;
const ctx=canvas.getContext('2d');
let grid=new Array(rows).fill(0).map(()=>new Array(cols).fill(0));
function rndFill() for(let r=0;r<rows;r++) for(let c=0;c<cols;c++) grid[r][c]=Math.random()<0.18?1:0;
function step()
const ngrid=grid.map(arr=>arr.slice());
for(let r=0;r<rows;r++) for(let c=0;c<cols;c++)
grid=ngrid;
function draw()
ctx.fillStyle="#fff"; ctx.fillRect(0,0,canvas.width,canvas.height);
for(let r=0;r<rows;r++) for(let c=0;c<cols;c++)
if(grid[r][c]) ctx.fillStyle="#111"; ctx.fillRect(c*scale,r*scale,scale,scale);
rndFill();
setInterval(()=> step(); draw(); , 80);
</script>
</body>
</html>
- Terminal Python (single-file, no GUI)
- Description: run locally in a terminal; prints ASCII generations.
- Example (outline):
import time, random, os
R,C = 30, 60
grid = [[1 if random.random()<0.2 else 0 for _ in range(C)] for _ in range(R)]
def neighbors(r,c):
s=0
for dr in (-1,0,1):
for dc in (-1,0,1):
if dr==0 and dc==0: continue
s += grid[(r+dr)%R][(c+dc)%C]
return s
while True:
os.system('cls' if os.name=='nt' else 'clear')
for row in grid:
print(''.join('█' if x else ' ' for x in row))
new = [[0]*C for _ in range(R)]
for r in range(R):
for c in range(C):
n=neighbors(r,c)
new[r][c] = 1 if (grid[r][c] and n in (2,3)) or (not grid[r][c] and n==3) else 0
grid=new
time.sleep(0.2)
- Spreadsheet formula (Google Sheets / Excel)
- Description: use binary cells with neighbor-sum formulas and rules in an adjacent grid.
- Example approach:
- Let grid cells be A1:Z40. In next grid cell, set formula like:
- In Excel: =IF(OFFSET(cell,0,0)=1, IF(SUM(OFFSET(cell,-1,-1,3,3))-cell>=2,IF(SUM(OFFSET(cell,-1,-1,3,3))-cell<=3,1,0),0), IF(SUM(OFFSET(cell,-1,-1,3,3))=3,1,0))
- Copy formulas across; iterate by copying-pasting values to advance generations.
- Let grid cells be A1:Z40. In next grid cell, set formula like:
