题型:任务型阅读 题类:常考题 难易度:普通
北京市海淀区2018-2019学年高二下学期英语期中考试试卷
AlphaZero--an Updated Model of AI
Soon after Garry Kasparov, the former world chess champion, lost his rematch against IBM's Deep Blue in 1997, the short window of human-machine chess competition slammed shut forever. Unlike humans, machines keep getting faster, and today a smartphone chess app can be stronger than Deep Blue. However, as people see with the new AlphaZero system, machine dominance has not ended the historical role of chess as a laboratory of cognition.
Much as airplanes don't flap their wings like birds, machines don't produce chess moves like humans do. Based on a generic algorithm (算法), AlphaZero incorporates deep learning and other AI techniques like Monte Carlo tree search to play against itself to develop its own chess knowledge. Unlike the traditional program Stockfish, which employs many preset evaluation functions as well as opening and endgame moves, AlphaZero starts out knowing only the rules of chess, with no preset human strategies. In a few hours, it plays more games against itself than have been recorded in human chess history. It teaches itself the best way to play, reevaluating the relative values of the pieces. It quickly becomes strong enough to win 28, draw 72, and lose none in a victory over Stockfish. Since AlphaZero can program itself, this superior understanding allows it to outclass the world's top traditional program despite calculating far fewer positions per second. It's the typical example of the cliché, "work smarter, not harder".
AlphaZero shows that machines can be the experts, not merely expert tools. Explainability is still an issue—it's not going to put chess coaches out of business just yet. But the knowledge it produces is information humans can learn from. AlphaZero is surpassing humans in a profound and useful way, and researchers are working on transferring the knowledge acquired from AlphaZero to other fields.
Machine learning systems aren't perfect. Even though great progresses have been achieved, AI algorithms are still struggling on open problems such as computer vision, natural language understanding... There will be cases where an AI will fail to detect exceptions to its rules. Therefore, as Kasparov writes, "We must work together to combine our strengths. I know better than most people what it's like to compete against a machine. Instead of raging against them, it's better if we're all on the same side."
①Machine dominance plays an important role in cognition study.
②AlphaZero knows opening and endgame moves before playing.
③AlphaZero develops chess strategies by playing against itself.
④Chess coaches have already been laid off throughout the world.
⑤Sometimes artificial intelligence may not discover exceptions to its rules.
②Paragraph 2:
③Paragraph 3:
④Paragraph 4:
A. The proper attitude to AI
B. The history of AlphaZero
C. The limitations of machines
D. The influences of AlphaZero
E. The working theory of AlphaZero
F. The fast development of machines
From time to time, we all get a bit down. Maybe we are feeling bad because we're not doing well with our goals. There are many reasons for feeling down, but I'm not able to discuss all of them. {#blank#}1{#/blank#}
Make a list. Sometimes we are sad simply because we are troubled by all the things we have to do. {#blank#}2{#/blank#} Make a list of the most pressing things you have to do. Thus you're getting things under control. You can see, right in front of you, what you need to do, and that can pick up your mood.
{#blank#}3{#/blank#} You've made a list, and you still feel puzzled? Well, get started on the first thing you need to do. Once you get into action, you'll feel better. And once you start doing something, you will feel much better than lying around feeling sorry for yourself.
{#blank#}4{#/blank#} I like Brown Eyed Girl, the Kinks, the Ramones, or an upbeat Beatles tune. You might have your own brand of feel-good music. Whatever it is, let yourself move to the beat. It may just be what the doctor ordered.
Talk about it. Get a best friend, family member or coworker you can talk to. {#blank#}5{#/blank#} It can also help you work out the reasons you're feeling down.
A. Take action. B. Play some lively music. C. Get out of the house and do something. D. Getting things off your chest makes a big difference. E. Start simply by picking up a piece of paper and a pen. F. Do whatever you need to do to feel good about yourself. G. What I can talk about are some things that have worked for me. |
Just as team members today have assigned doing roles, there should also be thinking roles. By knowing how other members of your learn and organization think—and by others knowing how you think—everyone can be more productive. So how should you evaluate how you and your team think? After a lot of trial-and-error, we developed a three-step method that delivers practical and meaningful results.
Focus. Do you tend to pay the most attention to ideas, process, action, or relationships? For example, in the morning do you think about the problems you need to solve, the plans you need to make, the actions you need to take, or the people you need to see? This isn't about picking one to the exclusion(排除)of the other. It's about where your focus naturally lands.
Orientation(方向). A good way to identify your orientation is thinking about what tends to bother you in meetings. Are you more likely to complain about getting dragged into the weeds or about things being too general and not specific enough? These dimensions are complementary(补充的)to personality, skills, and traditional roles.
Combination. By combing these two dimensions you can know about the thinking style at work in whatever context or setting you chose. When you know your thinking style, you know what naturally energizes you, why certain type of problems are challenging or boring, and what you can do to improve in areas that are important to reaching your goals. Once you know your style, it helps to share it with others, and have others share theirs with you. In this way, your thinking style becomes a useful tool—a kind of social currency—for the team. Imaging you put together a team to work on a new initiative(行动). Wouldn't you like to know who is energized by big-picture strategy discussions and who finds them frustrating? Who likes to work on the details of the execution? And who is energized by managing the team dynamics?
The landscape of business is changing rapidly, and we have to find new and better ways to connect and communicate. We all want to work better together, the challenge is actually making it happen. Understanding collaboration(合作)through the way of thinking rather than doing is a practical and powerful step forward.
What kind of Thinker Are You? |
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Introduction |
●Both assigned doing roles and thinking roles are {#blank#}1{#/blank#}important among team members. ●Team members knowing how each other think can {#blank#}2{#/blank#}productivity. |
Three steps in {#blank#}3{#/blank#}thinking styles |
●The first step is to identify the focus of your {#blank#}4{#/blank#}in a particular context. ●It is not about making an either-or{#blank#}5{#/blank#}, but about finding where your focus naturally lands. |
*The next stop is to identify {#blank#}6{#/blank#}your orientation swings toward the big picture or the details. *It can help others form a full understanding of you. |
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*The third step is to {#blank#}7{#/blank#}these two dimensions and see your thinking style at work. *It {#blank#}8{#/blank#}to the understanding of other team members' thinking styles. |
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{#blank#}9{#/blank#} |
In this rapidly changing world, understanding {#blank#}10{#/blank#}others think instead of what they do can help you work better together. |
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