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像掃地機(jī)器人一樣學(xué)習(xí)

本文總計(jì)857字

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（英文文章在中文文章之后）

第一個(gè)掃地機(jī)器人叫「倫巴」。當(dāng)倫巴第一天在你家工作的時(shí)候，它就像個(gè)醉漢，跌跌撞撞老是撞墻?？墒莿e擔(dān)心，它這是在熟悉你家的環(huán)境。一兩天之后，它知道了你家的隔間規(guī)劃，他就可以把地板掃得很干凈了。

剛開始的時(shí)候，倫巴的設(shè)計(jì)工程師很苦惱，因?yàn)槊總€(gè)房間都有不同的尺寸和形狀。有些房間是方形的，有些是L型的，有一些則是圓形的。幾乎不可能幫倫巴設(shè)定規(guī)格。最后這些工程師放棄了幫它默認(rèn)規(guī)格的想法。他們就讓它去撞墻，然后記錄這些房間的形狀，讓它自我修正。撞一次學(xué)乖一次，下次它就不會(huì)撞墻了。如果它犯了錯(cuò)，就記錄下來，自動(dòng)修正這些錯(cuò)誤。沒多久，倫巴就像個(gè)小狗在你家自由的移動(dòng)掃地了。

我以前認(rèn)為我是那種不擅于與機(jī)器和數(shù)學(xué)溝通的人?？墒牵幸淮挝液鸵粋€(gè)成績很好的同學(xué)同一組做功課。我觀察到他在算統(tǒng)計(jì)學(xué)上的資料，他是試了又試了，修改了又修改，直到最后找到了適當(dāng)?shù)拇鸢浮Ｄ菚r(shí)我才了解到，我沒那么笨，我只是沒有學(xué)習(xí)從失敗中找到答案而已。

當(dāng)IBM剛開始要發(fā)展語言翻譯軟件的時(shí)候，他們請(qǐng)了很多語言專家，希望這些語言專家可以幫翻譯軟件設(shè)立規(guī)則?？墒钦Z言太復(fù)雜了，每個(gè)句子的背景都不一樣。最后這些工程師放棄了幫翻譯軟件預(yù)先設(shè)立規(guī)則的想法，他們就把大量的數(shù)據(jù)全部輸入計(jì)算機(jī)里，讓計(jì)算機(jī)自己去學(xué)習(xí)。

雖然現(xiàn)在的翻譯軟件所翻譯的內(nèi)容還不識(shí)很順暢，但是已經(jīng)比以前好很多了。至少許多人可以透過翻譯軟件了解這些外文的基本意思了。我們相信計(jì)算機(jī)的翻譯軟件很快地會(huì)越來越好，就像人類的翻譯一樣。

當(dāng)小嬰兒開始學(xué)走路的時(shí)候，他們通常只能踏出一兩小步就跌倒了。但是他們會(huì)再站起來。這個(gè)過程他們會(huì)一再的重復(fù)，自我修正。最后，他們可以走很多步，很快的小孩子很快就學(xué)會(huì)順利地走路，甚至?xí)芰恕?/p>

這種情況與學(xué)習(xí)外語的方式非常相似。我們經(jīng)常犯同樣的錯(cuò)誤一百次，而不是每次犯一百個(gè)不同的錯(cuò)誤。在學(xué)習(xí)語言時(shí)犯錯(cuò)誤不應(yīng)該引起尷尬，這就是學(xué)習(xí)語言過程的必要的一部分。也就是說，我們必須犯錯(cuò)誤才能學(xué)習(xí)語言。這就是我們學(xué)習(xí)的方式。在許多方面，這是最好的學(xué)習(xí)方式。不僅僅是學(xué)習(xí)語言，這種方式也適用于其他領(lǐng)域。

Learning is Like a Floor-Sweeping Robot

The first floor-sweeping robot was named Roomba. When Roomba starts to work in your home the first day, Roomba is like an intoxicated person who is always striking the wall. However, don’t worry about such behavior; Roomba is just becoming familiar with your home. In a day or two, Roomba will know the layout of your home and be able to clean it well.

The designers of Roomba were particularly challenged when they designed the Roomba because each room has a different size and shape. Some rooms are square, some rectangular, some L-shaped and some rooms are even circular. It is basically impossible to preset the navigation rules for Roomba in the design stage. Finally, the designers gave up on trying to pre-program Roomba’s movement patterns. They let Roomba learn by itself by programming it to roam around and strike the walls of a room the first time it moves about a room. Roomba will record the shape of the room such that it can clean it without striking the walls the next time. If it does make a mistake, it will learn from its mistake and automatically correct its record. In no time at all, Roomba will be like a small dog freely moving about your house.

I used to think that I was a man who was a poor communicator with machines and also poor at mathematics. However, once when I was placed on the same team with a good performing classmate, I observed his way of calculating statistical data. He tried and tried again to arrive at a solution, modifying his calculations repeatedly until he homed in on a solution. At that time, I realized something: I was not so inept at mathematics; I just didn’t know how to learn from my failures to find a good solution.

When IBM was developing a language translation software package, it hired many language experts. The software engineers hoped that these language experts could set many rules for the language translation package. However, language is too complicated to cover every scenario with a finite set of rules. Finally, the engineers gave up on this approach. Instead, they input a huge amount of language data into a computer to let the computer learn by itself. Although such language translation software cannot produce really smooth translations for now, it’s getting better all the time. And now, many people use such translation software to get a pretty good idea of what something means in a foreign language. And it is believed that translation software will become almost as good as a human translator a few years down the line.

These examples show us that learning is a trial-and-error process. The most important thing is to know how to review and correct our mistakes.

When a child takes his or her first steps, he or she usually can only take a step or two before tumbling to the floor. But such a child will stand up and try again. This process will repeat itself many times. And before you know it, the child can take many steps in a row. And soon, the child will learn how to walk smoothly and even run.

The situation is very similar to the way one learns a foreign language. We often make the same mistake a hundred times instead of making one hundred different mistakes one time each. Making mistakes when learning a language shouldn’t cause embarrassment and is a necessary part of the language-acquisition process. That is, we have to make mistakes in order to learn language. That’s how we learn. In many ways, that’s the best way to learn. And this applies to other fields, not just learning language.