题目内容
阅读理解
阅读下列文,从每题所给的A、B、C、D四个选项中,选出最佳答案。
Decision-thinking is not unlike poker —it often matters not only what you think. but also what others think you think and what you think they think you think, The mental process (过程) is similar. Naturally, this card game has often been of considerable interest to people who are, by any standards. good thinkers.
The great mathematician John von Neumann was one of the founders of game theory. In particular, he showed that all games fall into two classes: there are what he called games of perfect information, games like chess where the players can't hide anything or play tricks: they don't win by chance, but by means of logic and skills. Then there are games of imperfect information, like poker, in which it is impossible to know in advance that one course of action is better than another.
One mistaken idea about business is that it can be treated as a game of perfect information. Quite the reverse. Business, politics, life itself are games which we must normally play with very imperfect information. Business decisions are often made with many unknown and unknown able factors (因素), which would even puzzle (困惑) best pokers players. But few business people find it comfortable to admit that they are taking a chance, and many still prefer to believe that they are playing chess, not poker.
1.The subject discussed in this text is ________.
A. the process of reaching decisions
B. the difference between poker and chess
C. the secret of making good business plans
D. the value of information in winning games
2.An important factor in a game of imperfect information is ________.
A. rules
B. luck
C. time
D. ideas
3.Which of the following can be used in place of “Quite the reverse”?
A. Quite right.
B. True enough.
C. Most unlikely.
D. Just the opposite.
4.In the writer's opinion, when making business decisions one should ________.
A. put perfect information before imperfect information
B. accept the existence of unknown factors
C. regard business as a game of chess
D. mix known and unknown factor
解析: