TED演讲:智能机器可以从鱼群中学到什么呢(2)
Secondly, and the thing that I still find most remarkable, is that we know that there are no leaders supervising this fish school.
其次，我觉得最引人注目的是鱼群中没有指挥者监督它们。
Instead, this incredible collective mind behavior is emerging purely from the interactions of one fish and another.
这种简直不可思议的集体行为仅仅源于个体之间的互动。
Somehow, there are these interactions or rules of engagement between neighboring fish that make it all work out.
在相邻的鱼之间以某种方式存在着合作的规律，得以呈现这样的景象。
So the question for AI then becomes,
所以AI的问题演变成了，
what are those rules of engagement that lead to this kind of intelligence, and of course, can we create our own?
引导这种智能背后的规则是什么呢，当然还包括，我们可以把它创造出来吗？
And that’s the primary thing that I work on with my team in my lab.
这就是我和我的团队在实验室中的主要工作内容。
We work on it through theory, looking at abstract rule systems and thinking about the mathematics behind it.
我们通过理论研究，观察其中抽象的规则系统，然后思考蕴藏在背后的运算规则。
We also do it through biology, working closely with experimentalists.
我们也会和生物学方面的研究人员密切合作。
But mostly, we do it through robotics,
但最主要的是，我们通过机器人进行研究，
where we try to create our own collective systems that can do the kinds of things that we see in nature, or at least try to.
尝试着去创造属于我们自己的群体系统，使其可以完成我们在自然中所观察到的现象，至少可以尝试一下。
One of our first robotic quests along this line was to create our very own colony of a thousand robots.
由此，我们第一批的机器人探索活动创造了属于我们的由一千个机器人组成的群体。
So very simple robots, but they could be programmed to exhibit collective intelligence, and that’s what we were able to do.
非常简单的机器人，但可以通过编程让它们展现集体智慧，这也是我们能够实现的。
So this is what a single robot looks like.
这是单个的机器人。
It’s quite small, about the size of a quarter, and you can program how it moves,
它非常小，只有一枚硬币大小，你可以通过编程控制它的移动，
but it can also wirelessly communicate with other robots, and it can measure distances from them.
但它也可以和其他的机器人无线连接，同时也可以测量它们之间的距离。
And so now we can start to program exactly an interaction, a rule of engagement between neighbors.
现在我们可以开始精确地编码一个交互运动，两个相邻机器人之间的运动规则。
And once we have this system, we can start to program many different kinds of rules of engagement that you would see in nature.
一旦我们有了这个系统，我们就能开始编码你可以在自然界中观察到的许多不同种类的规则。
机器人工程师-科幻小说对未来的幻想向我们展示了人工智能如何被用于复制人思考的方式，但是如果我们对从自然界中发现的其他形式的智能也进行建模，那会怎么样呢？拉蒂卡纳格普研究了昆虫和鱼群的集体智能，并尝试着去理解它们的相互作用规则。在这个前瞻性的个性中，她展示了她创造人工集体力量的工作并展望未来一大群机器人如何一起建造防洪堤，为农作物传粉，模拟珊瑚礁以及成为卫星的行星。