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How Human Consciousness Evolved | Daniel Dennett

In an entirely natural world without any supernatural mysteries,
你可以解释思想 人类思想 意识
you can explain the mind, the human mind, conciousness.
这是我研究了50年的课题 我意识到
It’s been my project for 50 years. And what I’ve come to realize is that
正确研究它的唯一方法是 你必须加倍认真重视“演变”
the only way to do it right is you have to take evolution a lot more seriously
并且真正严肃审视 进化如何能让这些
and really look hard at the question of how evolution could’ve gotten these
美妙的事物出现并运转 如何创造出今天像你我这样的人
wonderful projects up and running, that have now lead to people like you and me
and all the great artistic geniuses and scientific geniuses,
the real intelligent designers that now inhabit the planet
instead of the imaginary intelligent designer who never existed.
几千年来人们根深蒂固地认为 他们在这世上见到的一切美好事物
For millennia, people had it in mind that all the wonderful things they saw in the world,
所有动物 植物 各种生物的精妙设计
or all the beautiful design of the animals and plants and living things
必定是来自一位拥有惊人智慧的设计者 一个创世者
must be due to a fabulously intelligent designer, a creator.
直到达尔文出现 推翻这一切
And so wasn’t until Darwin came along and turned that upside down,
然后意识到 原则上 这可能有个过程
and realized that in principle, there could be a process
这里面没有智慧 没有理解 没有预知 没有目的
with no intelligence, no comprehension, no foresight, no purpose,
它只是不可抗拒地 演算式地机械生产出
that would just inexorably grind out algorithmically
越来越好 越来越好的 各种事物的设计
better and batter and better designs of all sorts
并创造出这个充满生机的世界 在此之前这里原本只有非生物存在
and create the living world where there would have been just lifeless matter before.
And this was a shocking idea to many people.
即便是对达尔文本人 某些方面也是震惊的
Even to Darwin in some regards it was shocking.
但他是正确的 他的核心是正确的
But he was right. He had the essentials right.
在150年后的今天 再没有人怀疑这点 他是正确的
And now, 150 years later, there’s just no question about it. He was right.
And we’re filling in the details with a breathtaking pace.
So that was the first great inversion, a strange inversion of reasoning.
而我称之为“阿兰·图灵的奇怪推理倒置”出现时 差不多是近些年了
And it’s much about it in recent years, by what I call Alan Turing’s strange inversion of reasoning.
在图灵的年代 “计算机”是人 那是一种工作
When Turing came along, computers were people. That was a job.
What do you do for a living? I’m a computer.
这些都是人类 尤其是数学专业的 他们被雇佣来计算
And these are human beings, typically they were math majors. And they were hired to compute
各种函数 表格 对数 天体导航表 诸如此类
various functions, tables, logarithms, celestial navigation tables, and so forth.
图灵发现 你不需要有智慧 不需要理解
What Turing realized was, you didn’t have to be intelligent, you didn’t have to comprehend,
you could make a device, which did all the things that the human computers were doing
它排除掉了所有智慧 所有理解
with all the intelligence and all the understanding laundered out of it,
except for the most minimal sort of mechanical quasi understanding.
它只需要能分辨0和1 或者穿孔纸带上有没有一个孔
All it had to do was to be able to tell a zero from a one, or a hole in a punch tape from no hole in a punch tape.
一个非常简单的区分器 把它按正确的逻辑组装起来
A very simple discriminator, put it together with the right logic,
你就得到了一个通用图灵机 它能够计算一切可计算的东西
and you have a Universal Turing Machine, which can compute anything computable.
And that was the birth of the computer.
And the two strange inversions fit together beautifully.
What they show, and this is still strange to people,
is what I call competence without comprehension.
We tend to think the reason we send our children to university is
使他们获取“理解” 我们将它视作“能力”的的来源
so that they can acquire comprehension which we view as the source of competence.
出于获得“理解”的愿望 他们就这样获得了“能力”
It’s out of that will of comprehension that they acquire the competence as they do.
我们看不起书面学习 反复操练和实践练习 因为它们…
And we look down our noses at wrote learning and drill and practice because that’s…
它们只是“能力” 而我们想要的是“理解”
that’s just competence, we want comprehension.
And what Turing and Darwin in a very similar way showed is, “No, that’s just backwards.”
“理解”是复合“能力” 的结果体现
Comprehension is an effect of multiple competences,
而非它自己是来源 它不是“能力”的一个独立的来源
not itself a source, an independent source of competence.
So that’s the second strange inversion.
如果我们要研究人类思想 我们就得引入
If we want to look at human minds we have to add
另一种演变力量的来源 那就是文化演变
another source of evolutionary power. And that’s cultural evolution.
我们的智慧并非都来自基因 通观全部 事实上还相对较少
We don’t get all our intelligence from our genes, in fact relatively little, all things considered.
这正是图灵的观点格外好用之处 因为
And here’s where Turing’s ideas really come in handy because
假设你采用理查德·道金斯的观点 将文化基因视为文化演变的一种单元
if you take Richard Dawkins’s idea of the meme as a unit of cultural evolution,
你又采用图灵关于可编程计算机的观点 然后把它们结合起来
and you take Turing’s idea about a programmable computer, and you put them together,
you get the idea of a meme as a thing made of information.
It’s like an app which you download to your “necktop”.
And it’s, a brain filled with apps is a mind, is a human mind.
如果你不下载所有“应用” 那么你将无法好好思考
And if you don’t download all the apps you’re not going to be able to think very well.
That’s why no creature on the planet, however intelligent they are in some regards,
它们还没法递根蜡烛给我们 因为它们不能下载文化的“应用”
they can’t hold a candle to us because they can’t download the apps of culture
因为它们没有…… 最基本的 它们没有语言
because they don’t have, basically they don’t have a language.
而文化其自身就是由“文化基因”组成 词语或文化基因
And it’s language, which is itself composed of memes, words or memes.
It’s language that is the backbone of cultural evolution.
它使得文化演变得以越来越不达尔文 而越来越智能
And what it permits is for cultural evolution to become ever less Darwinian, ever more intelligent.
And now we’re living in the age of intelligent design.
我们有科学家 工程师 艺术家 音乐家 作曲家
We have scientists and engineers and artists and musicians and composers,
all these wonderful designers of wonderful things,
诗歌 桥梁 飞机 原理……
of poems, bridges, airplanes, theories…
And they are intelligent designers.
但如果你想知道他们如何达到这样的智慧 你就得
But if you want to know how they manage to have that intelligence, you have to
回过头去看他们的大脑 简直像图灵的图灵机一样
go back and look at their brains. As ultimately like Turing’s Turing Machines,
它们由兆亿个部件构成 每一个部件都像木桩子一样蠢
they’re composed of actually trillions of million parts, they’re all just as stupid as posts.
这些部件什么都不懂 它们也什么都不需要懂
They don’t understand a thing. They don’t have to understand a thing.
你将它们以正确的方式组装到一起 你就得到了“理解”
You put them together in the right way and you get comprehension,
and eventually consciousness.



人类并非由一个智慧的设计者创造,相反,我们自己演变成为了智慧的设计者。 Danniel C.Dennett(哲学家,作家,认知科学家)通过人类历史上两次“奇怪的推理倒置”告诉你——人类意识是如何演变的。