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So for example, spontaneous synchronization,
例如自發同步現象，
how audiences are clapping and suddenly start all clapping together, the fireflies flashing together.
觀眾是怎樣鼓掌，怎樣突然一起開始鼓掌的，螢火蟲如何同步閃爍。
We can program rules for pattern formation,
我們可以編碼圖案形成的規則，
how cells in a tissue determine what role they're going to take on and set the patterns of our bodies.
組織中的細胞如何決定它們將會起什么樣的作用，進而決定我們的人體結構的。
We can program rules for migration, and in this way, we're really learning from nature's rules.
我們可以編碼遷移的規則，這樣一來我們真的是在借鑒自然法則。
But we can also take it a step further.
但我們也可以更進一步。
We can actually take these rules that we've learned from nature and combine them and create entirely new collective behaviors of our very own.
我們可以將這些從自然中學到的規律結合在一起，創造全新的、屬于我們自己的集體行為。
So for example, imagine that you had two different kinds of rules.
例如，想象一下你有兩種不同的規則。
So your first rule is a motion rule where a moving robot can move around other stationary robots.
第一種是運動規則，運動的機器人可以在其他固定的機器人周圍移動。
And your second rule is a pattern rule where a robot takes on a color based on its two nearest neighbors.
第二種是樣式規則，機器人參考相鄰的兩個機器人，呈現與其不同的顏色。
So if I start with a blob of robots in a little pattern seed,
如果從一小組機器人開始，
it turns out that these two rules are sufficient for the group to be able to self-assemble a simple line pattern.
結果顯示這兩種規則已經足夠實現讓群體自我組裝成一個簡單的線性圖案這一目標。
And if I have more complicated pattern rules, and I design error correction rules,
如果我用更復雜的樣式規則，并且設計錯誤更正規則，
we can actually create really, really complicated self assemblies, and here's what that looks like.
我們就可以創造非常復雜的自組裝結構了，給大家展示一下初步成果。
