人工智能托福作文

2023-10-19 09:57:14 來源：中國教育在線

隨著人們經(jīng)濟水平的提高，對于很多家庭來說，留學(xué)不再是一個可望而不可及的事情，許多人都想要留學(xué)，那其中人工智能托福作文？針對這個問題，下面中國教育在線小編就來和大家分享一下。

人工智能托福作文

People do not always act how economists assume they behave, but a computer controlled agent could act how economists assume people behave, if programmed to do so, in which case all rules of economic theory would work.

This means three things. First, the behavior of artificial intelligence agents that behave under the assumptions made in economic theory can be predicted by economic theory. Second, one can test how well artificial intelligence agents do the things economists assume people do. Thirdly, artificial intelligence agents that behave under the assumptions made in economic theory can be used to do calculations of math relating to economic theory.

Of course, one must wonder why this is important. It is good to be able to predict what a group of AI agents will do. It is also good to be able to use this information in order to test how well the agents work. The final fact is particularly interesting however. We can do relatively hard math problems relatively quickly using artificial intelligence agents. By quickly, I mean the Big-O of the program is polynomial as opposed to exponential. There are many math problems out there that the best algorithms known take exponential time. This method allows us to get fairly exact answers in polynomial time.

The question arises if this is really doing math. The answer to this question is not that simple. At the very least, the end result will be a very good approximation. Economists make up a bunch of rules the same way mathematicians do, and they often provide some kind of backing of these rules the same way mathematicians prove their statements. So, if we were to create a model that followed all the assumptions of economics, then we would be doing math. Many assumptions leave room for gray area, however. Economists often make statements that assume enough time or a large enough population. Of course, it is difficult to say how much is enough. So, many people would consider these methods to result in approximations, but these approximations are not only going to be as accurate as anyone would need, but they will also be done relatively quickly.

人工智能托福作文題材

1. to unleash mass unemployment 導(dǎo)致大量的失業(yè)

不同的人對于機器人技術(shù)(robotics)及人工智能(artificial intelligence)是利是弊一直各執(zhí)一詞，爭論不休。反對者反對機器人技術(shù)(robotics)及人工智能(artificial intelligence)的一個主要原因就是其會導(dǎo)致大量的失業(yè)(tounleash mass unemployment)。而大規(guī)模的失業(yè)(mass unemployment)使得大量勞動力(labor force)無事可做，從而會影響社會的穩(wěn)定( to take a heavy toll on social stability)。

2. to outperform 超越

然而支持者們卻認為，現(xiàn)如今機器能夠在幾乎所有任務(wù)上超越人類(machines are able to outperform humans at almost any task),所以機器人技術(shù)(robotics)及人工智能(artificialintelligence)把人們從繁重的工作中解放了出來，提高了工作效率，人們才可以更多地去享受休閑娛樂活動。只是在這個時刻確切到來之前，社會需要直面的這個問題(Society needs to confront this question before it is upon us)是如何更好地讓機器人技術(shù)及人工智能為我們服務(wù)。

3. prospect of leisure-only life 只有休閑的人生前景

但是一個只有休閑的人生前景(prospect of leisure-only life)是有吸引力(appealing)的嗎?有人可不這樣認為，畢竟有句話說得好——生于憂患，死于安樂，工作有時候?qū)τ谌祟悂碚f是必不可少的。因此人類應(yīng)該警惕機器相對于人類智慧的全方位優(yōu)勢的實現(xiàn)(all-round superiority of machine to human intelligence)。

4. harness technology in a wise way 明智地利用科技

其實機器人技術(shù)及人工智能本身并沒有對錯之分，關(guān)鍵是要看人類如何明智地利用科技(to harness technology in a wise way)。比如說人工智能進展最快的領(lǐng)域之一是機器視覺(machine vision),尤其是人臉識別(facial recognition)。裝有人臉識別設(shè)備的車輛將會實現(xiàn)自動駕駛，而科學(xué)家預(yù)測相比容易出錯的人類司機，自動駕駛汽車(the self-driving vehicles)將減少90%甚至更多的事故。不過與此同時，大量涉及駕駛車輛的工作崗位將會消失。

人工智能托福作文詞匯

科技類話題 topic of science and technology

隨著科技滲透到我們?nèi)粘Ｉ畹姆椒矫婷?with technology penetrating into every aspect of our daily life

科技現(xiàn)代化 modernization of science and technology

人工智能 artificial intelligence

機器人技術(shù) robotics

導(dǎo)致大量的失業(yè) to unleash mass unemployment

勞動力 labor force

lao dong li labor force

影響社會穩(wěn)定 to take a heavy toll on social stability

機器能夠在幾乎所有任務(wù)上超越人類 machines are able to outperform humans at almost any task

只是在這個時刻確切到來之前，社會需要直面這個問題 Society needs to confront this question before it is upon us