Real science

Chris Welty
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引用次数: 94

Abstract

Hayes discussed some of the essential points characterizing the training that philosophers and mathematicians receive as part of their education. Philosophers, said Hayes, are trained to argue not about conclusions, but about arguments. Mathematicians are trained to find shorter proofs. While the talk was mainly tongue and cheek, as such things go what made it humorous was precisely how true it was. This set me to thinking about something that Hayes' talk seem to leave wide open: what can we joke about the training of computer scientists, and those in AI in particular? I spend far too much time thinking about jokes, I suspect, but this thinking lead me quickly to an obstacle. A person who studies philosophy is called a " philosopher, " a person who studies mathematics is called a " mathematician , " a person who studies computer science is called a " computer scientist. " What do we call a person who studies artificial intelli-gence? Using the grammatical rules that appear to govern the three examples here, we get " artificial intelligencer " , " artificial intelli-gencian, " or " artificial intelligentist. " At AAAI-2000 in Orlando, I recall seeing promotional material for the conference that read, " Hey AI scientist! " I don't think AI can proceed until we finally decide what to call ourselves. " AI scientist " evokes images of manqué scientists like " political scientist, " or " social scientist. " This, of course, is a problem with the name of our parent field as well, and not an easy one to solve. Rather than attempt to solve it here for the benefit of the four people who read this column , I will simply leave it open as an important path for future research in our field, and probably a major government funding program. Returning then to the initial problem, how would we characterize the basic nature of an artificial intelligencian's education? As com-puterists, we inherit to begin with a slight inferiority complex with respect to the other sciences, since we are often considered to be less than a " true " science —there is, after all, no Nobel Prize in computer science. As a result, one common element to our training is denying that we did any programming. Some take this training as an offensive weapon as well, and accuse others of having done no more than write a program. …
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真正的科学
海斯讨论了哲学家和数学家作为教育的一部分所接受的训练的一些要点。海耶斯说,哲学家们所接受的训练不是争论结论,而是争论论点。数学家被训练去寻找更简短的证明。虽然谈话主要是说说而已,但就这样的事情而言,幽默的地方恰恰是它有多真实。这让我开始思考海耶斯的谈话似乎留下了一些空白:我们可以拿计算机科学家的培训,尤其是人工智能方面的培训开玩笑吗?我怀疑,我花了太多时间思考笑话,但这种思考很快就把我引向了一个障碍。研究哲学的人被称为“哲学家”,研究数学的人被称为“数学家”,研究计算机科学的人被称为“计算机科学家”。我们如何称呼研究人工智能的人?使用支配这三个例子的语法规则,我们得到“人工智能者”、“人工智能专家”或“人工智能主义者”。在奥兰多举行的AAAI-2000上,我记得看到会议的宣传材料上写着:“嘿,人工智能科学家!”我认为,在我们最终决定如何称呼自己之前,人工智能不会继续发展。”“人工智能科学家”让人联想到“政治科学家”或“社会科学家”等人类科学家的形象。当然,这也是父字段名称的问题,而且解决起来并不容易。我不会为了四位读者的利益而试图在这里解决这个问题,我将简单地把它作为我们领域未来研究的重要途径,也可能是一个主要的政府资助项目。回到最初的问题,我们如何描述人工智能教育的基本性质?作为计算机专家,我们一开始就继承了一种相对于其他科学的轻微自卑情结,因为我们经常被认为不是一门“真正的”科学——毕竟,计算机科学没有诺贝尔奖。因此,在我们的训练中,一个共同的元素就是否认我们做过任何编程。一些人也把这种训练当作一种攻击性武器,并指责其他人只不过是写了一个程序。…
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