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英語 高校生

長文どなたか教えてほしいです。 不安なんで…

ロ には 唱】 火のスピーチ放入を読んで、下紀の癌に和えなさい。 なおの人た家 本文の後に注があります。 As an old science reporter Tnd myselfin a diHfenlt position todai 0 Tighrtech executives on the topic of artifcial inteligence or AI Fnn surecoll 際。 far more about AI than 1 do. Stil. 1 think I can contribute some historical perspectHVe. Thave been writing science columns since many cf you were kids ( Z ) Hmrote my frst column on AT back in 1963。 Tm( イ ) because when T say *artifcial intelhgence"Tm talking about something that Tm not sure really exists. Those of you who have read my articlealand books on the subject know that Tbehieve in what we call imealk AT' and that 1 aminotieal onvineed by what we call srongALy oto Whats the difference? Lets say we program a computer to say Rhank youl in situations where real people would feel grateful. 1 think we could make eally sound like a thankful person。 Tm sure that such a machine and tuned so well that it could fool me were blindfolded But here's the question: Did the program actually feel thankf me? Or did the team who wrote the program thank me? Was According to the strong AL approach, the computer really couldibe ex According to weak AI, iCs just a machine making sounds。 Tim reminded of an old classic comedyy routine imagined a future world in which computers made 。 people really worried about that in the 1960s. In this ima handled every decision that humans didmt like making. One fmring other computers. So the comedy routine consists of a conm ose computer ecplaine to worker computer why itmust be fred The reason this comedy routine is interesting js not just bec because it expresses fears about strong AI。 ICs int 50 years ago- That's right。 a halfrcentury ago。 people uman decisions.They thoughtit might happ8mi the future.( ウ ).the predicted robotdominant、 Im my opinion, no matter how impressed none of us realiy believes that truly selfraware di exist. Tknow youre ll experts on AI but ileEs rogram, no matter how sophisticeted,( 王 ) marmyi jn or reject God. or say “Tlove you and mean it W cperatipg the machine-or who wrote the Dio As a real. thinking person who has obaerved tk research for many yearsu Tbelieve there will alaya bela efieve that no matter how sophisticated ATbeoon as a thinking person。T also know that 1 can be wi the future of science. Perhaps momeday those of yo

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英語 高校生

こういう問題があった場合は、どう対策とって勉強したらいいですか??

第2問 oxoa所 入れるのに最も適当なものを, それ ぞれ下の⑩⑥の中から一っずっ人選びなさい。 ただし, 同じものを繰り返し用いな いものとする。 なお. 空所の番号は。 解答欄の解答番号と一致させてある。 (*印の 語句については,注釈を参照すること。) Bhutans mana sa Rh (Donekhe0, one cf58 langnages (jn the Tbetan langnage family) Tn the acooE Enghsh ja the GE (Oinetraedion and Dongkha teught as the saena PT @ Unsi the 1980s, the sponsored the teaching of Nepai in schools in onthern Bhutan。 With the adoption cf Daglam Namzhag and its expaneion⑨ Tnto fhe iea of strengthening the role oFDzongkha, Nepahi was dropped fom Before the 1980s, the Lhotshampa (Nepahi-speaking commun6y mainly based 近 southern Bhutan。 constitoted approximately 309% of population. However, afRier conducting the "parge of Lhotshampas from 1990E 1992 this number might not accwtately efect the eumrent 加@加 Dzongkha is parially inteligible with "Sikkimese and spoken natively bm 259%6 of the population. Tshangla, the | 19 of*the Sharchop and 福 principal pre-Tibetan Janguage of Bhutan is spoken by a greater numb記護 people. Nepali speakers constituted some 402oE the nopulaton as of 2608 The larger minority 1anguages are Dzala (1196) imbn (10%) Rheng (8%) Rai (8%). There are no reliable sources fom the ethnie om ingustc | 20 ot Bhutan, so these numbers do not add up to 1009| 注駅 : Driglam Namzhag「プブータンの伝統的礼法服装規定など5含まれる purge「追放」 Sikiimese「シッキム人(プータンとネバペーの間にあるイドのシラキム州の住民)」 the Sharchop 「プータン東部の住民』 @ carrieulam @ goernment @ mediam @ pomalaton 《⑩ composition @ jangusge

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数学 高校生

岩手大のいつかの過去問です。黄色でマーカーを引いたところの文構造と和訳を教えてほしいです。believed to beやandの使われ方が特に分かりません。 どなたか解説よろしくお願いします。

Have you hcard he welLknown claim hat onl-7 pereent ofany spoken messageia還の3 1 sherieiel us that a fuN 93 pefeent ef any message is communicared nonverbally/Tiis contcndon is 6f cours absGNute Rubbisi Thc 7-pcrccnt formula is endorscd by many professional communicaton traincrs They cell us that of hc 93 pcrcent figure refering to nonverbal Gommunicaton 53 pcrcenr is through body language and the Other 38 percent is through One GTNOice T anndcd acommunicatons workshop recendy in 《siicdh the faeiitorl uite 9 cy mphasizcd ythese seadsdcs/ wasy to put it indelicatey dumbfounded9 Tchallenged her by asking "Do you mcan that if stood jn front ofithis class and spoke yere consistent with my rp in Chinse,&s jong aymy body language and tone of rmessagey You would al understand me?9 She uecd all he communicadon Kils at her command to virtually slap me down. /She supported hcr claims by quoting the research done by the eminent psychology professor Albert Mehrabian。 The rest_of the class impresscd that this principle was being put fortn as the の7 resulr of a scientific study and not just as a myth or rumor。 nodded in agreement 1 acquiesced*。 remaining unconvinccd. 1 consulred my friend Google and did some research。 Yes。experiments were の7 conducted by Albert Mehrabian、 currcntly profcssor emeritus* of psychology at the Universiny of California at Los Angcles. But thc rcscarch in qucstion was done in 3 1967.using one word at a ime to measure [yhat thc hstcncr beliced to be the fcchng of he spcakerkndl determine iF the Istener hiked the spcaker The cxperiment was never intended to measurelhow well the jkteners understood what the spcaker was nying Q communicate. Achrabian has published his work and findimgs in thc book Sicr AMesge。(On gz his website、 Mchrabian states: “SAgr Afessgges contains a detailed discussion of my indings on inconsistent messages QP feelings and atiitudes (and the relatve importance Tam ob beginning Unformnaele 39

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