Name: 艾倫-溫菲爾德:"會思考的機器人"｜在谷歌的演講 (Alan Winfield: "The Thinking Robot" | Talks at Google)
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ALAN WINFIELD: Thank you very much indeed.

And thank you so much for the invitation.

So I've titled the lecture "The Thinking Robot."

But of course, that immediately begs the question,

Well we could, of course, spend the whole

of the next hour debating what we mean by thinking.

But I should say that I'm particularly interested in

So in other words, the kind of intelligence that we have,

that animals including humans have, and that robots have.

So of course that slightly differentiates

But I regard robotics as a kind of subset of AI.

And of course one of the things that we discovered

in the last 60 odd years of artificial intelligence

is that the things that we thought were really difficult

Like playing chess, or go, for that matter.

Whereas the things that we originally thought

were really easy, like making a cup of tea, are really hard.

So it's kind of the opposite of what was expected.

So embodied intelligence in the real world

I'm going to talk initially about intelligence

And then I'm going to choose a particular one which

I've been really working on the last three or four years.

And it's what I call a generic architecture

Or in short, robots with internal models.

So that's really what I want to focus on.

done the last couple of years in the lab.

And so doing experiments is really important for me.

So the first thing that we ought to realize--

I'm sure we do realize-- is that intelligence is not one thing

And you know, there are several ways of breaking intelligence

if you like, of intelligence, different types

And here's one that I came up with in the last couple

It's certainly not the only way of thinking about intelligence.

But this really breaks intelligence into four,

if you like, types, four kinds of intelligence.

And that's the intelligence that you get just

about how you design morphological intelligence.

You've probably all seen pictures of or movies of robots

that can walk, but in fact don't actually

have any computing, any computation whatsoever.

is an emergent property of the mechanics,

if you like, the springs and levers and so on in the robot.

So that's an example of morphological intelligence.

Individual intelligence is the kind of intelligence

that you get from learning socially, from each other.

working on a lot in the last 20 odd years

that we see most particularly in social animals, insects.

The most interesting properties of swarm intelligence

is typically manifest as a collective behavior that

emerges from the, if you like, the micro interactions

between the individuals in that population.

But I said this is absolutely not the only way

of thinking about intelligence which I particularly like.

And this is Dan Dennett's tower of generate and test.

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艾倫-溫菲爾德:"會思考的機器人"｜在谷歌的演講 (Alan Winfield: "The Thinking Robot" | Talks at Google)

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