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Conway’s Game of Life

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关于这个模拟实验

KiwiBee’s classroom edition of Conway’s Game of Life makes each B3/S23 neighbor rule visible. Inspect a cell to see its neighbor count and predicted next state, compare stable blocks with repeating blinkers and moving gliders, undo a generation, or draw a starting pattern. Switch between a finite grid and wrapping edges to explore boundary assumptions. Inspired by Pedro Verruma’s MIT-licensed implementation; the cellular automaton was devised by John Conway. The new classroom engine models mathematical states, not living organisms.

学生可以探索什么

  • Inspect a cell and predict whether it will live in the next generation.
  • Compare Block, Blinker, Glider and Glider Gun experiments with Step.
  • Undo a generation, draw a change, and compare finite versus wrapping edges.

学习目标

  1. 1Apply local neighbor rules to predict a generation.
  2. 2Distinguish stable, repeating and moving patterns.

教师常问的问题

Who created this activity and what is its source license?

Pedro Verruma; cellular automaton devised by John Conway. Original source license: MIT. Source: https://github.com/pmav/game-of-life. KiwiBee improves the classroom controls and experiments, retaining source credits and licenses.

What does this model simplify?

This is a discrete mathematical model on a browser grid. The word life does not imply biological realism.

How can I use the activity in class?

Use the activity controls inside the frame, or open fullscreen for a larger workspace. Ask students to predict a result, test it, and explain what changed. The embedded application starts in English; available upstream language controls are part of the original activity.

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<iframe src="https://kiwibee.io/zh-cn/simulations/conway-game-of-life-simulation/embed" title="Conway’s Game of Life | KiwiBee" loading="lazy" allowfullscreen style="width:100%;height:min(70vh,620px);min-height:420px;border:0;border-radius:16px"></iframe>

继续探索

从模型到记录

学生探索之后,用工作表记录他们的预测、观察和解释。

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