题目内容
（请给出正确答案）
Professor Nash has been equipped with much (know) ______ in this field.
安装简答题APP，拍照搜题省时又省心！
更多“Professor Nash has been equipp…”相关的问题
A、Office Equipment.
B、Accumulated Depreciation-Office Equipment.
C、Depreciation Expense-Office Equipment.
D、Ted Nash, Capital.
E、Salaries Payable.
A、when each player is doing the best he or she can, given the actions of the other players.
B、each player has a competitive advantage over the other players.
C、in which there are no winners only losers.
D、when all the possibilities are revealed to the players.
In recent years, computer experts, particularly those specializing in artificial intelligence, have felt the same fascination and frustration. Programming other board games has been a relative snap. Even chess has succumbed to the power of the processor. Five years ago, a chess-playing computer called Deep Blue not only beat but thoroughly humbled Garry Kasparov, the world champion at that time. That is because chess, while highly complex, can be reduced to a matter of brute force computation. Go is different. Deceptively easy to learn, either for a computer or a human, it is a game of such depth and complexity that it can take years for a person to become a strong player. To date, no computer has been able to achieve a skill level beyond that of the casual player.
The game is played on a board divided into a grid of 19 horizontal and 19 vertical lines. Black and white pieces called stones are placed one at a time on the grid's intersections. The object is to acquire and defend territory by surrounding it with stones. Programmers working on Go see it as more accurate than chess in reflecting the ways the human mind works. The challenge of programming a computer to mimic that process goes to the core of artificial intelligence, which involves the study of learning and decision-making, strategic thinking, knowledge representation, pattern recognition and perhaps most intriguingly, intuition.
Along with intuition, pattern recognition is a large part of the game. While computers are good at crunching numbers, people are naturally good at matching patterns. Humans can recognize an acquaintance at a glance, even from the back.
Daniel Bump, a mathematics professor at Stanford, works on a program called GNU Go in his spare time.
"You can very quickly look at a chess game and see if there's some major issue," he said. But to make a decision in Go, he said, players must learn to combine their pattern-matching abilities with the logic and knowledge they have accrued in years of playing.
"Part of the challenge has to do with processing speed. The typical chess program can evaluate about 300,000 positions in a second, and Deep Blue was able to evaluate some 200 million positions in a second. By mid-game, most Go programs can evaluate only a couple of dozen positions each second," said Anders Kierulf, who wrote a program called SmartGo.
In the course of a chess game, a player has an average of 25 to 35 moves available. In Go, on the other hand, a player can choose from an average of 240 moves. A Go-playing computer would need about 30,000 years to look as far ahead as Deep Blue can with chess in three seconds, said Michael Reiss, a computer scientist in London. But the obstacles go deeper than processing power. Not only do Go programs have trouble evaluating positions quickly; they have trouble evaluating them correctly. Nonetheless, the allure of computer Go increases as the difficulties it poses encourage programmers to advance basic work in artificial intelligence.
For that reason, Fotland said, "writing a strong Go program will teach us more about making computers think like people than writing a strong chess program. "
What does the sentence "Programming other board games has been a relative snap. " (Paragraph 2) indicate？
A．Programming other board games has been relatively easy.
B．Programming other board games has been relatively difficult.
C．Programming other board games has been relatively complicated.
D．Programming other board games has been relatively predictable.
In recent years, computer experts, particularly those specializing in artificial intelligence, have felt the same fascination and frustration. Programming other board games has been a relative snap. Even chess has succumbed to the power of the processor. Five years ago, a chess-playing computer called "Deep Blue" not only beat but thoroughly humbled Garry Kasparov, the world champion at that time. That is because chess, while tithe complex, can be reduced to a matter of brute force computation. Go is different. Deceptively easy to learn, either for a computer or a human, it is a game of such depth and complexity that it can take years for a person to become a strong player. Today, no computer has been able to achieve a skill level beyond that of the casual player.
The game is played on a board divided into a grid of 19 horizontal and 19 vertical lines. Black and white pieces called stones are placed one at a time on the grid' s intersections. The object is to acquire and defend territory by surrounding it with stones. Programmers working on Go see it as more accurate than chess in reflecting the ways the human mind works. The challenge of proroguing a computer to mimic that process goes to the core of artificial intelligence, which involves the study of learning and decision-making, strategic think- Lug, knowledge representation, pattern recognition and perhaps most intriguingly, intuition.
Along with intuition, pattern recognition is a large part of the game. While computers are good at process- ing numbers, people are naturally good at matching patterns. Humans can recognize an acquaintance at a glance, even from the back.
Daniel Bump, a mathematics professor at Stanford, works on a program called GNU Go in his spare time.
"You can very quickly look at a chess game and see if there's some major issue," he said. But to make a decision in Go, he said, players must learn to combine their pattern-matching abilities with the logic and knowledge they have accrued in years of playing.
One measure of the challenge the game poses is the performance of Go computer programs. The past five years have yielded incremental improvements but no breakthroughs, said David Fotland, a programmer and chip designer in San Jose, California, who created and sells The Many Faces of Go, one of the few commercial Go programs.
Part of the challenge has to do with processing speed. The typical chess program can evaluate about 500,000 positions in a second, and Deep Blue was able to evaluate some 200 million positions in a second. By mitigate, most Go programs can evaluate only a couple of dozen positions each second, said Anders Kiem if, who wrote a program called, Smart Go.
In the course of a chess game, a player has an average of 25 to 35 moves available. In Go, on the other hand, a player can choose from an average of 240 moves. A Go-playing computer would need about 30,000 years to look as far ahead as Deep Blue can with chess in three seconds, said Michael Reiss, a computer scientist in London. But the obstacles go deeper than processing power. Not only do Go programs have trouble evaluafing positions quickly; they have trouble evaluating them correctly. Nonetheless, the allure of computer Go increases as the difficulties it poses encourages programmers to advance basic work in artificial intelligence.
Reiss, an expert in neural networks, compared a human being's ability to recognize a strong or weak po
A．Go is a more complex game than chess.
B．Go reflects the way human beings think.
C．Go players are likely to feel frustrated.
D．Go poses a challenge to artificial intelligence.
A、(T, L) and (B, R)
B、(TT, L) and (BB, R)
C、(TT, L), (TB, R) and (BB, R)
D、(TT, L), (TB, L) and (BB, R)
The professor’s lecture ()light on the problem that has puzzled us for so long.
A、give
B、shed
C、show
D、donated
A、Gerard Edwards
B、Huijun
C、Professor Gao
D、Siqiang
A) is; have B) is; has C) are; have D) is; are
根据下面内容，回答题
"Businessman of the Year" Award
A. James King: Chief Executive of Fentons Finance
King was nominated for the quality of his leadership, with the judges claiming that the Fentons Finance boss is almost revered by his team. He is credited with reinventing Fentons Finance - revitalizing its culture of inflexibility, removing outdated pre-merger barriers and playing a brilliant tactical game. He led everyone to believe he was opposed to large mergers and then jumped on the Westcombe Bank opportunity at just the right moment. History will be the judge, but for now the markets consider King to be a star.
B. Keith Nash: Chief Executive of Hamley&39;s Supermarkets
Nash took over as CEO when Hamley&39;s systems and distribution were out of date and the brand badly needed freshening up. He began refocusing the brand at the higher quality end of the food market and launched several own-brand initiatives for the health conscious. As a result, the share price has gone up nearly 80 per cent. This should be extremely satisfying for Nash, who had left the retailer in 1986, disappointed after failing to secure the top job.
C. Jorge Marquez: Chairman of the Kenwick Group
Marquez was a popular choice for his achievements at Kenwick. The judges say he has been courageous in pushing through the appointment of controversial or inexperienced chief executives to companies within the group, and then sponsoring them as they transformed their businesses. He operates as a "virtual" chairman, without a permanent office in any one company. He phones his CEOs regularly, and several of them have acknowledged the vital contribution he makes to their effectiveness. Everyone is impressed at how he also finds the time to be chairman of two other large companies.
D. Richard Jenkins: Finance Director of Centron Advertising
Labouring in the shadow of a high-profile boss can sometimes draw attention away from the finance director, and the judges considered it was high time Jenkins got that attention. The CEO may be the public face of Centron, but Jenkins is the one who makes it run smoothly. Behind the scenes, he is constantly demonstrating that budgets and forecasts are what is needed to make a company successful, particularly now that the advertising market has been hit by recession, it is largely thanks to him that Centron is in much better shape than its rivals.
This businessman has successfully targeted a different group of consumers. 查看材料
A.A
B.B
C.C
D.D
为了保护您的账号安全，请在“简答题”公众号进行验证，点击“官网服务”-“账号验证”后输入验证码“”完成验证，验证成功后方可继续查看答案！
微信搜一搜
简答题
微信搜一搜
简答题
如搜索结果不匹配，请 
