Do we see reality as it is? | Donald Hoffman | TED

2,749,390 views ・ 2015-06-11

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譯者: Sue Chen 審譯者: Nickey Hou
00:12
I love a great mystery,
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我愛各種玄妙的東西
00:14
and I'm fascinated by the greatest unsolved mystery in science,
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並且被一个科學界深奧的未解之謎深深吸引
00:19
perhaps because it's personal.
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大概因爲它切身攸關吧。
00:21
It's about who we are,
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它是關於我們是誰。
00:23
and I can't help but be curious.
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我忍不住要探個究竟。
00:26
The mystery is this:
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這是什麽迷呢?
00:28
What is the relationship between your brain
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是這两者的關係: 你的大腦
00:31
and your conscious experiences,
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和你的有意識的體驗。
00:33
such as your experience of the taste of chocolate
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例如你嘗到 巧克力味道的體驗
00:35
or the feeling of velvet?
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或天鹅绒的手感。
00:38
Now, this mystery is not new.
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這個迷倒不是新的。
00:40
In 1868, Thomas Huxley wrote,
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早在1868年,Thomas Huxley 寫到:
00:44
"How it is that anything so remarkable as a state of consciousness comes about
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"爲啥一些妙不可言的東西 如人的清醒意識
00:49
as the result of irritating nervous tissue
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其形成竟是來自刺激性神經組織,
00:53
is just as unaccountable
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實在莫名其妙,
00:55
as the appearance of the genie when Aladdin rubbed his lamp."
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跟阿拉丁擦擦他的油燈 精靈就出現了一樣無法解釋"。
01:01
Now, Huxley knew that brain activity
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Huxley熟知大腦的活動
01:03
and conscious experiences are correlated,
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和有意識體驗是有關係的,
01:06
but he didn't know why.
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他衹是不知道原因是何。
01:08
To the science of his day, it was a mystery.
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在其時代的科學界裡 這是個迷。
01:12
In the years since Huxley,
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Huxley之後的這些年,
01:14
science has learned a lot about brain activity,
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科學界對大腦活動 有了很多的發現。
01:17
but the relationship between brain activity
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但是兩者的關係 即大腦活動
01:19
and conscious experiences is still a mystery.
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和有意識的體驗 仍然是個迷。
01:22
Why? Why have we made so little progress?
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爲何?爲何我們還未搞懂多少這個迷?
01:26
Well, some experts think that we can't solve this problem
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有專家認爲 這迷是解不了的了
01:31
because we lack the necessary concepts and intelligence.
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因我們缺乏必要的 概念和智慧。
01:35
We don't expect monkeys to solve problems in quantum mechanics,
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我們不指望猴子去排解 量子力學的問題,
01:39
and as it happens, we can't expect our species to solve this problem either.
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同樣,我們也不能指望 自己的物種去化解這個迷。
01:44
Well, I disagree. I'm more optimistic.
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我不同意這説法。 我樂觀多了。
01:47
I think we've simply made a false assumption.
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我認爲我們衹是 用了個錯誤的假設而已。
01:50
Once we fix it, we just might solve this problem.
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糾正了假設後,我們 很可能就能把這迷解了。
01:54
Today, I'd like tell you what that assumption is,
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今天,我想和大家說一下 這個假設是什麽,
01:56
why it's false, and how to fix it.
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爲何它是錯誤的,我們可以 怎樣加以糾正。
01:59
Let's begin with a question:
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先來個問題:
02:01
Do we see reality as it is?
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我們眼睛看見的,是現實的真貌嗎?
02:04
I open my eyes
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我睜大雙眼
02:06
and I have an experience that I describe as a red tomato a meter away.
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就有這體驗: 一公尺外有個紅色的番茄。
02:12
As a result, I come to believe that in reality,
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結果是,我相信 在現實中,
02:15
there's a red tomato a meter away.
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有個紅色的番茄在一公尺之外。
02:18
I then close my eyes, and my experience changes to a gray field,
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然後我閉上雙眼,我的體驗 就變了是一片灰色的面了。
02:24
but is it still the case that in reality, there's a red tomato a meter away?
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這意味著在現實中, 仍有這麽一個紅番茄在一公尺之外嗎?
02:30
I think so, but could I be wrong?
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是的。但這念頭會不會是錯的呢?
02:33
Could I be misinterpreting the nature of my perceptions?
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會不會我錯誤地詮釋了 知覺的實質呢?
02:39
We have misinterpreted our perceptions before.
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我們有過錯誤地詮釋了 知覺的先例。
02:42
We used to think the Earth is flat, because it looks that way.
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我們曾以爲地球是扁的, 以爲它看起來就是扁的。
02:46
Pythagorus discovered that we were wrong.
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Pythagorus發現我們相錯了。
02:49
Then we thought that the Earth is the unmoving center of the Universe,
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然後我們又以爲地球 是宇宙的固定的中心。
02:53
again because it looks that way.
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也是因爲當時看來就那樣。
02:56
Copernicus and Galileo discovered, again, that we were wrong.
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Copernicus 和 Galileo 再次發現 我們又錯了。
03:01
Galileo then wondered if we might be misinterpreting our experiences
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Galileo 接著琢磨是否我們 錯誤地詮釋了自己的體驗,
03:05
in other ways.
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在其他方面出錯了。
03:06
He wrote: "I think that tastes, odors, colors, and so on
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他寫到:"我認爲味道、 氣味、顔色等等
03:11
reside in consciousness.
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是存在於意識當中的。
03:14
Hence if the living creature were removed, all these qualities would be annihilated."
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正是如此,如果活體沒有了, 所有這些特質也會化爲烏有了。"
03:20
Now, that's a stunning claim.
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這可是個大膽的斷言。
03:23
Could Galileo be right?
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Galileo會不會是對的呢?
03:24
Could we really be misinterpreting our experiences that badly?
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我們會不會真的非常錯誤地 詮釋自己的體驗呢?
03:29
What does modern science have to say about this?
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當今的科學研究能 對此有什麽看法呢?
03:32
Well, neuroscientists tell us that about a third of the brain's cortex
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神經科學們說 我們的大腦的三分之一
03:37
is engaged in vision.
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都有用在視覺上面。
03:39
When you simply open your eyes and look about this room,
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我們衹要單單地睜開眼睛 環視一下這講座間,
03:43
billions of neurons and trillions of synapses are engaged.
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數億神經元和 數萬億突觸就已經被用上了。
03:47
Now, this is a bit surprising,
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這稍微有點意想不到。
03:49
because to the extent that we think about vision at all,
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因爲衹從視覺這點來説,
03:51
we think of it as like a camera.
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我們衹把當作是照相機。
03:54
It just takes a picture of objective reality as it is.
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它拍個照 把現實客觀地呈現出來。
03:58
Now, there is a part of vision that's like a camera:
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我們視覺的一部分 確實像一照相機:
04:02
the eye has a lens that focuses an image on the back of the eye
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眼睛有個晶體能調焦 把物像聚焦到眼睛後部。
04:06
where there are 130 million photoreceptors,
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後部有1億3千萬個 光感受器,
04:10
so the eye is like a 130-megapixel camera.
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因此我們的眼睛就像個 1億3千萬像素的攝影機。
04:14
But that doesn't explain the billions of neurons
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但是這個解釋不了 數億神經元
04:17
and trillions of synapses that are engaged in vision.
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和數萬億突觸 在視覺上到底起什麽作用。
04:21
What are these neurons up to?
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這些神經元到底在做什麽呢?
04:23
Well, neuroscientists tell us that they are creating, in real time,
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神經科學家們說 它們在實時地生造
04:27
all the shapes, objects, colors, and motions that we see.
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我們正目睹著的各種形狀、物體、顔色 和行進中的東西。
04:32
It feels like we're just taking a snapshot of this room the way it is,
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就像是我們衹是在 如實地抓拍這個房間。
04:35
but in fact, we're constructing everything that we see.
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但事實是,我們看見的所有東西 都是構建出來的。
04:39
We don't construct the whole world at once.
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我們不是一次性地 構建整個物界。
04:42
We construct what we need in the moment.
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我們衹在需要的當時一刻構建。
04:45
Now, there are many demonstrations that are quite compelling
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有很多演示可以非常 有力地驗證
04:48
that we construct what we see.
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我們看見的東西都是構造出來的。
04:50
I'll just show you two.
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我做兩個演示給大家看看。
04:52
In this example, you see some red discs with bits cut out of them,
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演示一,你看見些紅色的圓形 每個都有缺口的。
04:58
but if I just rotate the disks a little bit,
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如果我把這些圓形稍微 轉動一下,
05:01
suddenly, you see a 3D cube pop out of the screen.
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馬上,你看見的是個立體方塊 從螢幕上脫穎而出。
05:06
Now, the screen of course is flat,
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別忘了,這螢幕是平的哦。
05:09
so the three-dimensional cube that you're experiencing
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所以你體驗到的這個 三度空間方塊
05:11
must be your construction.
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一定是你構造出來的。
05:15
In this next example,
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演示二,
05:17
you see glowing blue bars with pretty sharp edges
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你看見些發光的藍條子 邊邊挺鋒利的,
05:21
moving across a field of dots.
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不停地在一個很多點的 面上移動。
05:25
In fact, no dots move.
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事實上呢,那些點沒動過。
05:28
All I'm doing from frame to frame is changing the colors of dots
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我衹是一帧一帧地 轉換小點的顔色
05:33
from blue to black or black to blue.
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從藍轉成黑,或從黑轉成藍。
05:35
But when I do this quickly,
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當我轉得快的時候,
05:37
your visual system creates the glowing blue bars
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你的視覺系統就生造了 發光的藍條子,
05:41
with the sharp edges and the motion.
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邊邊挺鋒利的,不斷行進著。
05:44
There are many more examples, but these are just two
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有很多這樣的例子的。 這裏衹是兩個
05:46
that you construct what you see.
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演示了你在構建所見東西。
05:49
But neuroscientists go further.
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神經科學家們還說了更進一步的。
05:53
They say that we reconstruct reality.
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他們說我們重新構建了現實。
05:58
So, when I have an experience that I describe as a red tomato,
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當我有一項可以被説成是 紅色的番茄的體驗時
06:02
that experience is actually an accurate reconstruction
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這體驗其實是 你如實地構建了
06:06
of the properties of a real red tomato
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一個真的紅色番茄的屬性,
06:08
that would exist even if I weren't looking.
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即使我不看著的時候 它也存在的屬性。
06:13
Now, why would neuroscientists say that we don't just construct,
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現在要問了,爲何神經科學家說 我們不單衹構建,
06:16
we reconstruct?
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我們還重新構建?
06:18
Well, the standard argument given
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標準論點都是
06:21
is usually an evolutionary one.
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屬於進化理論的。
06:24
Those of our ancestors who saw more accurately
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我們的祖先當中 誰視力更精確
06:27
had a competitive advantage compared to those who saw less accurately,
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誰就比視力沒那麽精確的 更有競爭優勢,
06:32
and therefore they were more likely to pass on their genes.
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於是他們有更大機會 傳宗接代。
06:34
We are the offspring of those who saw more accurately,
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我們是那些視力更精確的 祖先的後代,
06:38
and so we can be confident that, in the normal case,
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故可以很有信心地相信 在正常情況下,
06:41
our perceptions are accurate.
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我們的知覺是精確的。
06:43
You see this in the standard textbooks.
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這個在標準課本都能看到。
06:47
One textbook says, for example,
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例如有本課本說:
06:49
"Evolutionarily speaking,
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"從進化角度說,
06:51
vision is useful precisely because it is so accurate."
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視覺有用恰恰是因爲 它精確無疑。“
06:55
So the idea is that accurate perceptions are fitter perceptions.
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即是說,精確的知覺 是更優良的知覺。
07:00
They give you a survival advantage.
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它能給你生存的優勢。
07:02
Now, is this correct?
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問題是,這説法正確嗎?
07:04
Is this the right interpretation of evolutionary theory?
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是對進化理論的 正確的詮釋嗎?
07:06
Well, let's first look at a couple of examples in nature.
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我們可以先看看兩個 自然界的例子。
07:10
The Australian jewel beetle
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澳洲的珠甲蟲
07:13
is dimpled, glossy and brown.
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樣子帶點、帶亮澤、呈棕色。
07:16
The female is flightless.
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雌性的不能飛。
07:18
The male flies, looking, of course, for a hot female.
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雄性的能飛、四處尋找 魅力無限的雌蟲。
07:22
When he finds one, he alights and mates.
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每找到一隻,牠就騎其上,與之交配。
07:26
There's another species in the outback,
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在荒野上還有另一個物種,
07:29
Homo sapiens.
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叫智人類。
07:30
The male of this species has a massive brain
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這物種的男性 腦袋奇大,
07:33
that he uses to hunt for cold beer.
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都用在四處找冰鎮啤酒的功夫上了。
07:37
(Laughter)
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(笑聲)
07:39
And when he finds one, he drains it,
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每找到一瓶他就喝一瓶,
07:41
and sometimes throws the bottle into the outback.
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有時喝完就把瓶子 撩荒野上了。
07:44
Now, as it happens, these bottles are dimpled, glossy,
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無巧不成書,這些瓶子也是 樣子帶點、帶亮澤、
07:49
and just the right shade of brown to tickle the fancy of these beetles.
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而棕色的色度也剛好能 讓這些珠甲蟲幻想連天的。
07:54
The males swarm all over the bottles trying to mate.
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雄甲蟲見啤酒瓶就騎 上上下下要與之交配。
07:59
They lose all interest in the real females.
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如是,牠們對真格的 雌蟲倒沒丁點兒興趣了。
08:02
Classic case of the male leaving the female for the bottle.
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典型的雄性爲了酒瓶 疏遠了雌性的案例。
08:06
(Laughter) (Applause)
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(笑聲)(掌聲)
08:11
The species almost went extinct.
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該物種幾乎絕種。
08:14
Australia had to change its bottles to save its beetles.
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澳洲得把瓶子改了 才挽救了珠甲蟲。
08:18
(Laughter)
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(笑聲)
08:21
Now, the males had successfully found females for thousands,
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那些雄蟲幾千年來 都能準確無誤的找到雌蟲,
08:25
perhaps millions of years.
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很可能幾百萬年都如此。
08:28
It looked like they saw reality as it is, but apparently not.
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似乎牠們見到的就是現實的本貌。 很顯然,事實並不如此。
08:32
Evolution had given them a hack.
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進化讓牠們習得的是一項行技而已。
08:35
A female is anything dimpled, glossy and brown,
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雌甲蟲就是帶點的、 帶亮澤的、呈棕色、
08:40
the bigger the better.
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越大越好。
08:42
(Laughter)
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(笑聲)
08:44
Even when crawling all over the bottle, the male couldn't discover his mistake.
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哪怕把整個啤酒瓶都爬完了, 那雄蟲就是沒法知道自己錯那兒。
08:49
Now, you might say, beetles, sure, they're very simple creatures,
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也許你會說,甲蟲嘛,當然啦, 簡單低等,
08:53
but surely not mammals.
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哺乳動物肯定不會。
08:55
Mammals don't rely on tricks.
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哺乳動物不需依賴伎倆。
08:58
Well, I won't dwell on this, but you get the idea. (Laughter)
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這我就不多説了, 你們懂的。(笑聲)
09:04
So this raises an important technical question:
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因此這就引出一重要的 技術上的問題:
09:07
Does natural selection really favor seeing reality as it is?
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自然篩選真的偏袒 所見如實嗎?
09:13
Fortunately, we don't have to wave our hands and guess;
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幸好,我們無需 揮舞雙手東猜西猜;
09:17
evolution is a mathematically precise theory.
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進化論是一項數學根據 精確的理論。
09:20
We can use the equations of evolution to check this out.
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我們可以用進化等式 來探究一下。
09:24
We can have various organisms in artificial worlds compete
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我們可以把不同生物放到 放到多個人造物界裏競爭,
09:28
and see which survive and which thrive,
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看看誰生存下來, 誰茁壯成長,
09:30
which sensory systems are more fit.
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哪一個感官系統更優良。
09:33
A key notion in those equations is fitness.
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這裏面各個等式中 最關鍵的元素是體良。
09:37
Consider this steak:
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看看這枚牛排:
09:41
What does this steak do for the fitness of an animal?
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對於某動物的體良來説 這牛排起什麽作用?
09:45
Well, for a hungry lion looking to eat, it enhances fitness.
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對於一隻正在尋食的獅子來説, 它能促進體良。
09:52
For a well-fed lion looking to mate, it doesn't enhance fitness.
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對於一喫飽了的、衹想交配的獅子呢, 它不會促進體良。
09:58
And for a rabbit in any state, it doesn't enhance fitness,
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對於一隻任何狀態下的兔子來説呢, 它不促進體良。
10:01
so fitness does depend on reality as it is, yes,
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如此,體良是有賴於 所見如實,對的,
但同時也有賴於有機體本身、 其狀態及行動。
10:06
but also on the organism, its state and its action.
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10:10
Fitness is not the same thing as reality as it is,
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體良和能見現實真貌 不是一碼事。
10:13
and it's fitness, and not reality as it is,
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是體良, 而不是現實真貌,
10:17
that figures centrally in the equations of evolution.
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占據了進化論等式 的中心位置。
10:21
So, in my lab,
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在我的實驗室裏,
10:24
we have run hundreds of thousands of evolutionary game simulations
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我們操運過成百上千個 進化游戲模擬,
10:28
with lots of different randomly chosen worlds
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配有衆多不同的 隨機選出的物界,
10:31
and organisms that compete for resources in those worlds.
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各物界裏各種有機體 進行競爭,占獲資源。
10:35
Some of the organisms see all of the reality,
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一部分有機體 能看見全部物界的真貌,
10:39
others see just part of the reality,
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其他有機體則衹看到現實的一部分,
10:41
and some see none of the reality,
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還有的對現實的真貌熟視無睹,
10:43
only fitness.
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衹看見體良一樣東西。
10:46
Who wins?
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誰贏了呢?
10:48
Well, I hate to break it to you, but perception of reality goes extinct.
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説來你也許不信, 能看見現實真貌的都絕種了。
10:54
In almost every simulation,
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在每一個模擬中,
10:56
organisms that see none of reality
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對現實熟視無睹的,
10:58
but are just tuned to fitness
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衹單單看到體良的那些有機體
11:00
drive to extinction all the organisms that perceive reality as it is.
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把能看到現實真貌的有機體 都趕到絕種了。
11:05
So the bottom line is, evolution does not favor veridical,
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説到底,進化既不 眷顧高低向知覺,
11:10
or accurate perceptions.
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也不眷顧精密知覺。
11:11
Those perceptions of reality go extinct.
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能看得見現實真貌的都絕種了。
11:15
Now, this is a bit stunning.
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好吧,這觀察有點驚人。
11:17
How can it be that not seeing the world accurately
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不能精確看到現實真貌 爲何能
11:21
gives us a survival advantage?
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使我們有生存的優勢?
11:23
That is a bit counterintuitive.
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這有點反直覺。
11:25
But remember the jewel beetle.
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但別忘了剛才講到的珠甲蟲。
11:27
The jewel beetle survived for thousands, perhaps millions of years,
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珠甲蟲幾千年,可能幾百萬年 都活下來了,
11:30
using simple tricks and hacks.
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靠的是簡單的片長薄技。
11:33
What the equations of evolution are telling us
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進化制衡向我們顯示的是
11:36
is that all organisms, including us, are in the same boat as the jewel beetle.
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所有的有機體,包括我們, 和珠甲蟲面對的是一樣的。
11:42
We do not see reality as it is.
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我們看見的不是現實的真貌。
11:44
We're shaped with tricks and hacks that keep us alive.
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我們是由那些讓我們活下來的 片長薄技塑造出來的。
11:48
Still,
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當然,
11:50
we need some help with our intuitions.
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我們也需要依靠直覺的某些幫助。
11:52
How can not perceiving reality as it is be useful?
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爲何不看見現實的真貌 會如此有用呢?
11:57
Well, fortunately, we have a very helpful metaphor:
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很慶幸,我們有個 非常得力的比方:
12:01
the desktop interface on your computer.
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你電腦上的桌面界面。
12:03
Consider that blue icon for a TED Talk that you're writing.
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我們來看那個代表你正在寫的 TED Talk稿子的藍色的圖標。
12:08
Now, the icon is blue and rectangular
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圖標是藍色的,成矩形
12:12
and in the lower right corner of the desktop.
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處在桌面的右下角。
12:15
Does that mean that the text file itself in the computer is blue,
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這意味著電腦裏面的文字文件 就是藍色的、
12:20
rectangular, and in the lower right-hand corner of the computer?
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矩形的、就處在電腦裏的 右手邊角落嗎?
12:23
Of course not.
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當然不是。
12:25
Anyone who thought that misinterprets the purpose of the interface.
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誰要是認爲是的話,就是 誤釋了界面的目的了。
12:29
It's not there to show you the reality of the computer.
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界面的目的不是向你 呈現電腦的真貌。
12:32
In fact, it's there to hide that reality.
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事實是,界面是爲你 遮蓋電腦的真貌。
12:35
You don't want to know about the diodes
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你並不想知道二極管、
12:37
and resistors and all the megabytes of software.
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電阻器、軟件的 兆字節之類的。
12:39
If you had to deal with that, you could never write your text file
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要是得跟這些打交道的話, 你永遠也沒法寫作文件,
12:42
or edit your photo.
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或編輯圖片了。
12:44
So the idea is that evolution has given us an interface
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這樣説來,進化給我們有個 界面的意義是
12:49
that hides reality and guides adaptive behavior.
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把現實的真貌隱藏起來, 並指引適應性行爲。
12:53
Space and time, as you perceive them right now,
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你目前知覺到的 空間和時間,
12:56
are your desktop.
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就如同你的電腦桌面。
12:58
Physical objects are simply icons in that desktop.
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實質物體也就衹不過 是桌面的圖標而已。
13:04
There's an obvious objection.
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有個顯而易見的反駁。
13:06
Hoffman, if you think that train coming down the track at 200 MPH
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Hoffman, 如果你認爲對面開來 那輛時速200英里的火車
13:10
is just an icon of your desktop,
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衹不過是電腦桌面的圖標,
13:12
why don't you step in front of it?
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不見你一躍而上 擋前面去?
13:14
And after you're gone, and your theory with you,
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等你沒命了, 和你的理論一起埋了,
13:17
we'll know that there's more to that train than just an icon.
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我們就知道那輛火車 不單單衹是圖標了。
13:20
Well, I wouldn't step in front of that train
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呵,我不會上去 擋著那火車,
13:22
for the same reason
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正猶如
13:24
that I wouldn't carelessly drag that icon to the trash can:
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我不會掉以輕心地 把那圖標拖到回收站。
13:28
not because I take the icon literally --
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倒不是因爲我把那個圖標 當成是實物文檔----
13:31
the file is not literally blue or rectangular --
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那份文件並非真的是藍色的、 或矩形的 ----
13:34
but I do take it seriously.
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而是我會鄭重對待那個圖標。
13:37
I could lose weeks of work.
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否則我會丟失一個星期工作的内容。
13:39
Similarly, evolution has shaped us
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同樣地,進化把我們塑造成
13:41
with perceptual symbols that are designed to keep us alive.
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能正確對待知覺上的代符的人 以得以生存下來。
13:46
We'd better take them seriously.
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所以我們最好不要對其掉以輕心。
13:49
If you see a snake, don't pick it up.
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看見蛇了,別撿起來。
13:52
If you see a cliff, don't jump off.
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看見懸崖了,別往下跳。
13:55
They're designed to keep us safe, and we should take them seriously.
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這些都是爲了我們的安全, 我們應該慎重其事。
13:58
That does not mean that we should take them literally.
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這不意味著我們應該把 代符與事物等同起來。
14:01
That's a logical error.
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否則就犯邏輯錯誤了。
14:03
Another objection: There's nothing really new here.
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另外一個反駁: 你説的也不是什麽新發現。
14:06
Physicists have told us for a long time that the metal of that train looks solid
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物理學家們很早前就說 那輛火車的鐵皮看起來堅實,
14:10
but really it's mostly empty space with microscopic particles zipping around.
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實質是大體積空間裡 有很多微觀粒子繞一起罷了。
14:15
There's nothing new here.
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不是什麽新發現。
14:16
Well, not exactly.
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呵,不全對。
14:18
It's like saying, I know that that blue icon on the desktop
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這等於說,我知道 那電腦裏面的藍色圖標
14:22
is not the reality of the computer,
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不是電腦的真實面貌,
14:25
but if I pull out my trusty magnifying glass and look really closely,
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如果我用個精確放大鏡 好好地靠近看清楚,
14:28
I see little pixels,
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我會看見細小的像素,
14:30
and that's the reality of the computer.
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那就是電腦的真貌啊。
14:32
Well, not really -- you're still on the desktop, and that's the point.
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呵,也不全對。你仍舊沒離開 桌面本身。此爲問題的中心點了。
14:36
Those microscopic particles are still in space and time:
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那些微觀粒子仍然存在 於空間和時間裏面:
14:39
they're still in the user interface.
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它們仍舊在用戶的界面。
14:42
So I'm saying something far more radical than those physicists.
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而我在說的比物理學家們說的 有更大顛覆性。
14:46
Finally, you might object,
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最後一個反駁:
14:48
look, we all see the train,
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我們大家都看見那輛火車,
14:50
therefore none of us constructs the train.
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那火車不是我們當中 任一位構建出來的。
14:53
But remember this example.
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不過,還記得這例子吧。
14:55
In this example, we all see a cube,
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這裏,我們都看見一立體方塊,
14:59
but the screen is flat,
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但螢幕是平的。
15:01
so the cube that you see is the cube that you construct.
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因此你看見的方塊 是你構建出來的。
15:05
We all see a cube
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我們都看見一個方塊。
15:07
because we all, each one of us, constructs the cube that we see.
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因爲這方塊是我們,每一個人, 構建出來的。
15:12
The same is true of the train.
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這跟我們建構了那輛火車 是一樣的。
15:14
We all see a train because we each see the train that we construct,
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我們都看見一兩火車,因爲 我們每位都看見自己構建出來的火車。
15:19
and the same is true of all physical objects.
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我們看見的所有物理實體 都緣於這個道理。
我們都傾向於認爲知覺 就像個窗口,從那能看到現實的真貌。
15:24
We're inclined to think that perception is like a window on reality as it is.
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15:29
The theory of evolution is telling us that this is an incorrect interpretation
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而進化的理論告訴我們 那是錯誤地詮釋了
15:34
of our perceptions.
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我們的知覺。
15:37
Instead, reality is more like a 3D desktop
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其實,現實更如同是個 3D的桌面,
15:40
that's designed to hide the complexity of the real world
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目的是把現實的 複雜性遮蓋起來,
15:43
and guide adaptive behavior.
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同時爲我們的適應性 行爲做指引。
15:46
Space as you perceive it is your desktop.
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你目睹的空間就是你的桌面。
15:49
Physical objects are just the icons in that desktop.
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物理實體是 桌面上的圖標。
15:53
We used to think that the Earth is flat because it looks that way.
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我們以前認爲地球是扁的, 因爲看起來是扁的。
15:57
Then we thought that the Earth is the unmoving center of reality
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我們又曾認爲地球是 現實世界的不移的中心,
16:00
because it looks that way.
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因爲看起來如此。
16:02
We were wrong.
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我們都錯了。
16:03
We had misinterpreted our perceptions.
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我們都曾經錯誤地詮釋 過我們的知覺。
16:06
Now we believe that spacetime and objects
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現在呢,我們認爲時空和物體
16:10
are the nature of reality as it is.
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就是現實界的真貌。
16:13
The theory of evolution is telling us that once again, we're wrong.
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進化的理論再次告訴我們 我們又錯了。
16:17
We're misinterpreting the content of our perceptual experiences.
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我們錯誤地詮釋了 知覺體驗的内容。
16:22
There's something that exists when you don't look,
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世上有些東西是你不看著 也一樣存在的,
16:24
but it's not spacetime and physical objects.
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不過不是時空和物理實體。
16:28
It's as hard for us to let go of spacetime and objects
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我們老繞不過時空和物體。
16:31
as it is for the jewel beetle to let go of its bottle.
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如同那些珠甲蟲繞不過 自己看上的啤酒瓶。
16:34
Why? Because we're blind to our own blindnesses.
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爲何繞不過?我們看見 自己的看不見自己的盲點。
16:40
But we have an advantage over the jewel beetle:
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然而,相比於珠甲蟲, 我們有個優勢:
16:42
our science and technology.
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即我們的科學和技術。
16:44
By peering through the lens of a telescope
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透過望遠鏡,
16:46
we discovered that the Earth is not the unmoving center of reality,
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我們發現地球不是 現實的不移中心。
16:51
and by peering through the lens of the theory of evolution
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透過進化理論的 望遠鏡,
16:54
we discovered that spacetime and objects
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我們發現時空和物體
16:56
are not the nature of reality.
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不是現實的實質。
16:59
When I have a perceptual experience that I describe as a red tomato,
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當我有被描述爲一個紅番茄 這樣知覺體驗時,
17:03
I am interacting with reality,
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我是在和現實活動。
17:06
but that reality is not a red tomato and is nothing like a red tomato.
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但現實不是那個紅番茄, 也和紅番茄沒有絲毫相似之處。
17:11
Similarly, when I have an experience that I describe as a lion or a steak,
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同樣地,當我有一個 被描述爲獅子或牛排的體驗時,
17:16
I'm interacting with reality,
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我是在和現實互動。
17:18
but that reality is not a lion or a steak.
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但現實不是獅子或牛排。
17:21
And here's the kicker:
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其實要説的是這個:
17:23
When I have a perceptual experience that I describe as a brain, or neurons,
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當我有一個被描寫爲 大腦,或神經元的體驗時,
17:28
I am interacting with reality,
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我其實是在和現實互動了,
17:30
but that reality is not a brain or neurons
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而現實不是大腦或神經元,
17:34
and is nothing like a brain or neurons.
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也和大腦或神經元沒有 絲毫相似之處。
17:37
And that reality, whatever it is,
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現實 ----- 不管究竟爲何物,
17:42
is the real source of cause and effect
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才是真正的起因和結果的根源,
17:46
in the world -- not brains, not neurons.
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物界的根源,並非大腦,也非神經元。
17:50
Brains and neurons have no causal powers.
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大腦和神經元沒有 導因之力。
17:52
They cause none of our perceptual experiences,
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兩者都不是導致 我們知覺體驗的根源,
17:55
and none of our behavior.
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也不導致我們行爲的根源。
17:57
Brains and neurons are a species-specific set of symbols, a hack.
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大腦和神經元是物種各自獨特 的代符,一種符術。
18:02
What does this mean for the mystery of consciousness?
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那麽,對於人意識的這個迷, 這結論意味著什麽呢?
18:05
Well, it opens up new possibilities.
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意味著多個新的可能性。
18:09
For instance,
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例如,
18:11
perhaps reality is some vast machine that causes our conscious experiences.
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現實可能是個龐大的機器, 是我們的有意識體驗的成因。
18:18
I doubt this, but it's worth exploring.
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這個我很懷疑,不過值得探討。
18:22
Perhaps reality is some vast, interacting network of conscious agents,
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現實可能是某種龐大的、 相互間互動的意識代理體的網絡,
18:27
simple and complex, that cause each other's conscious experiences.
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有簡單的有複雜的,在導致 各自之間的意識體驗。
18:33
Actually, this isn't as crazy an idea as it seems,
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聽起來荒誕,但事實上 並不如此。
18:36
and I'm currently exploring it.
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這是我目前正在探索的。
18:38
But here's the point:
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論點在這:
18:40
Once we let go of our massively intuitive
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一旦我們離棄由完全憑直覺的
18:43
but massively false assumption about the nature of reality,
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但萬分虛假的慣想構成 的所謂現實真貌,
18:47
it opens up new ways to think about life's greatest mystery.
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就能開拓很多嶄新的探討生命 最深奧的迷的方式方法。
18:53
I bet that reality will end up turning out to be more fascinating
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我打賭,現實一定會是 一個更引人入勝的、
18:57
and unexpected than we've ever imagined.
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更出乎意料的東西, 完全超乎我們的想象的。
19:01
The theory of evolution presents us with the ultimate dare:
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進化理論給了我們 最終極的挑戰:
19:06
Dare to recognize that perception is not about seeing truth,
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挑戰我們去肯認 知覺不是用來窺見真相的,
19:11
it's about having kids.
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是引導我們繁衍後代而已。
19:15
And by the way, even this TED is just in your head.
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順帶一句,這個TED字 也衹是你的大腦使然而已。
19:20
Thank you very much.
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謝謝大家。
19:22
(Applause)
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(掌聲)
19:32
Chris Anderson: If that's really you there, thank you.
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C Anderson: 如果那站著的 真是你,該謝天謝地。
19:36
So there's so much from this.
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這裏講的真得車載斗量。
19:39
I mean, first of all, some people may just be profoundly depressed
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首先,有些人會深陷抑鬱的啊,
19:42
at the thought that, if evolution does not favor reality,
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----- 一旦想到進化不優待 能見現實真貌。
19:47
I mean, doesn't that to some extent undermine all our endeavors here,
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那樣的話,不等於 破壞了我們的心機了嗎,
19:51
all our ability to think that we can think the truth,
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破壞了我們一向認爲的 自己能思考真理的能力
19:53
possibly even including your own theory, if you go there?
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很可能還包括你自己的 理論呢,假如那樣想下去?
19:57
Donald Hoffman: Well, this does not stop us from a successful science.
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D Hoffman: 呵,這不會 攔住我們在科學上頻有建樹。
20:01
What we have is one theory that turned out to be false,
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這衹不過是發現了一項理論 是錯了的而已。
20:04
that perception is like reality and reality is like our perceptions.
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錯在認爲知覺就是現實, 現實與我們的知覺無二。
20:09
That theory turns out to be false.
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那個理論現在看來錯了。
20:10
Okay, throw that theory away.
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把它摒棄就是了。
20:12
That doesn't stop us from now postulating all sorts of other theories
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但不等於會阻礙從此 可以假設其他類別的理論,
20:15
about the nature of reality,
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其他現實實質的理論。
20:16
so it's actually progress to recognize that one of our theories was false.
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這其實是進步來的, 認識到我們的理論是錯了的。
20:20
So science continues as normal. There's no problem here.
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科學照常發展。 並無大礙。
20:23
CA: So you think it's possible -- (Laughter) --
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Anderson: 你認爲沒事? (笑聲)
20:25
This is cool, but what you're saying I think is it's possible that evolution
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挺瀟灑的。根據你說的, 我認爲,進化還是有可能
20:29
can still get you to reason.
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使你學會辯因的。
20:32
DH: Yes. Now that's a very, very good point.
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Hoffman: 對。非常 到位的一點。
20:34
The evolutionary game simulations that I showed were specifically about perception,
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我展示的各種進化游戲模擬 是專爲知覺而設的,
20:39
and they do show that our perceptions have been shaped
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它們均顯示我們的知覺 被塑造成
20:41
not to show us reality as it is,
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不是爲了能看見現實真貌的。
20:43
but that does not mean the same thing about our logic or mathematics.
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但不等於在邏輯或數學方面 也是如此。
20:48
We haven't done these simulations, but my bet is that we'll find
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我們還未做那方面的模擬。 但我相信會發現
20:51
that there are some selection pressures for our logic and our mathematics
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某些篩選壓力會是 在邏輯和數學方面
20:55
to be at least in the direction of truth.
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起碼是向著真理的方向發展的。
20:57
I mean, if you're like me, math and logic is not easy.
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數學和邏輯都不容易掌握。
21:00
We don't get it all right, but at least the selection pressures are not
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我們不能全搞對,但起碼 篩選的壓力
21:03
uniformly away from true math and logic.
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沒有呈現與數學及邏輯 全綫背道而馳。
21:05
So I think that we'll find that we have to look at each cognitive faculty
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我認爲我們將要 祥觀每一項認知能力
21:09
one at a time and see what evolution does to it.
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逐項研究,看看 進化對其做是什麽影響。
21:11
What's true about perception may not be true about math and logic.
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能解釋知覺的不一定能 解釋數學和邏輯。
21:15
CA: I mean, really what you're proposing is a kind of modern-day Bishop Berkeley
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Anderson: 你的論題提出的 相當於現代Bishop Berkeley
21:19
interpretation of the world:
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對物界的詮釋:
21:21
consciousness causes matter, not the other way around.
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意識引致物質, 不是物質引致意識。
21:24
DH: Well, it's slightly different than Berkeley.
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Hoffman: 和Berkeley的 少有差異。
21:27
Berkeley thought that, he was a deist, and he thought that the ultimate
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神論者轉自然論者 Berkeley 認爲
21:30
nature of reality is God and so forth,
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最終來説現實是上帝 等等,
21:32
and I don't need to go where Berkeley's going,
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而我不需要走 Berkeley那條路。
21:35
so it's quite a bit different from Berkeley.
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所以和Berkeley 是有頗大異處的。
21:39
I call this conscious realism. It's actually a very different approach.
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我的理論叫意識真實論, 一項非常不同的探究方法。
21:43
CA: Don, I could literally talk with you for hours, and I hope to do that.
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Anderson: Don,我倆可以談上 幾個小時。希望能做到。
21:46
Thanks so much for that. DH: Thank you. (Applause)
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非常感謝。 Hoffman: 謝謝。(掌聲)
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