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单选题 What percentage of human moves could AlphaGo predict after training
学科：默认课程
时间：2025-10-02 11:44:48
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题目1单选题
When did Go originateA. Over 1,500 years agoB. Over 2,500 years agoC. In 1952D. In 1997
题目2单选题
What status does Go hold in traditional Chinese cultureA. One of the four essential arts for scholarsB. A game invented by ConfuciusC. A pastime only for royal familiesD. Less valuable than chess
题目3单选题
How many people worldwide play GoA. More than 4 millionB. More than 14 millionC. More than 40 millionD. More than 400 million
题目4单选题
How many possible positions are there in GoA. 10⁷⁰B. 10¹⁷⁰C. Equal to the number of atoms in the solar systemD. A googol times smaller than chess
题目5单选题
Why did traditional AI methods fail at GoA. They lacked access to human expert game dataB. Their search tree approach couldn't handle Go's complexityC. They were not designed for board gamesD. They had insufficient computing power
题目6单选题
What are the two neural networks in AlphaGoA. Search network and input networkB. Policy network and value networkC. Expert network and learning networkD. Output network and prediction network
题目7单选题
What percentage of human moves could AlphaGo predict after trainingA. 44%B. 50%C. 57%D. 62%
题目8单选题
What was the result of AlphaGo's match against Fan HuiA. AlphaGo lost 0-5B. AlphaGo won 5-0C. The match ended in a 2-2 drawD. Fan Hui won 3-2
题目9单选题
Where will AlphaGo face Lee SedolA. LondonB. BeijingC. SeoulD. New York
题目10单选题
What does the sentence "This complexity is what makes Go hard for computers to play, and therefore an irresistible challenge to artificial intelligence (AI) researchers, who use games as a testing ground to invent smart, flexible algorithms that can tackle problems, sometimes in ways similar to humans." implyA. AI researchers find Go too complex to studyB. Games help AI researchers develop problem-solving algorithmsC. Computers are better at Go than other strategy gamesD. AI algorithms can only mimic human problem-solving
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