学年

教科

質問の種類

TOEIC・英語 大学生・専門学校生・社会人

1文目の someone will live from their time of birth は明らかに years を修飾していますが、省略されているのは関係代名詞でしょうか?AIに聞いたら live (the years) というように関係詞となった the year... 続きを読む

健康と心理学 1 Track 015 Health 子 Life Expectancy 80sec. 'Life expectancy is an estimate of the average number of years someone will live from their time of birth. Overall, life expectancy has been on an upward trend around the world. However, life expectancy is different when looking at 'sex, age, race, and location. The local environment can also 'have an effect on life 5 expectancy. In less developed countries, life expectancy at birth is lower 'compared to more developed countries. 10 To estimate life expectancy, researchers need 'reliable data. For example, they need to know the 'population, how many men and women there are, how rich or poor families are, among other things. Researchers also need to know data about the "death rate. Some countries have an efficient system to collect data, so it is easier to estimate the life expectancy of that country. 12 13 Things that can increase life expectancy in a country are sometimes very simple. Having access to clean water and having a clean bathroom is one way to increase the "duration of life. Another way to increase life expectancy in a country is to 15 expand its wealth. When a country is "affluent, it can "supply more hospitals and doctors, which then leads to better health 18 outcomes. This is one reason why developed countries have 2 higher life expectancies than less developed countries. 19 20. Humans around the world are achieving prolonged lifespans, but there are still inequalities between countries that we must work to overcome. (234 words)

未解決 回答数: 1
TOEIC・英語 大学生・専門学校生・社会人

下線部(1)の文構造が分かりません。特に2行目の文構造が分かりません。強調のdoであることは分かりますが、その後のthat以降が関係詞?かすらも分からないので、誰か教えて下さい!

次の英文は1991年に出版された本からのもので、 研究分野としての「人工知 能」 (Artificial Intelligence) について述べています。 下線部(1)~(3)を日本語に訳 しなさい。 What is Artificial Intelligence (AI)? Just about the only characterization of Al that would meet with universal acceptance is that it involves trying to make machines do tasks which are normally seen as requiring intelligence. There are countless refinements of this characterization: what sort of machines we want to consider; how we decide what tasks require intelligence and so on. One of the most important questions concerns the reasons why we want to make machines do such tasks. AI has always been split between people who want to make machines do tasks that require intelligence because they want more useful machines, and people who want to do it because they see it as a way of exploring how humans do such tasks. We will call the two approaches the engineering approach and the cognitive-science respectively. (2) (1) approach The techniques required for the two approaches are not always very different. For many of the tasks that engineering AI wants solutions to, the only systems we know about that can perform them are humans), so that, at least initially, the obvious way to design solutions is to try to mimic what we know about humans. For many of the tasks that cognitive-science Al wants solutions to, the evidence on how humans do them is too hard to interpret to enable us to construct computational models, so the only approach is to try to design solutions from scratch" and then see how well they fit what we know about humans. The main visible difference between the two approaches is in (3) their criteria for success; an engineer would be delighted to have create something that outperformed a person; a cognitive scientist would regard it as a failure. -1- M7 (492-61

未解決 回答数: 1
1/4