READ THE FOLLOWING PASSAGE AND CHOOSE THE CORRECT SECNTENCES FROM A TO F IN THE GIVEN LIST TO FILL IN THE GAPS FROM 1
READ THE FOLLOWING PASSAGE AND CHOOSE THE CORRECT SECNTENCES FROM A TO F IN THE GIVEN LIST TO FILL IN THE GAPS FROM 1 TO 5. THERE IS ONE EXTRA SENTENCE THAT YOU MUST NOT USE IN THE LIST.
A good many technical people become irate when you call a computer a giant brain. They insist that a computer does only what thinking humans have planned to have it do.
Yet one authority states categorically: "A machine can handle information, it can calculate, conclude and choose; it can perform reasonable operations with information. A machine, therefore, can think.” Famed mathematician Norbert Wiener, of MIT, envisions a machine that can learn and will "in no way be obliged to make such decisions as we should have made, or will be acceptable to us." (1)_________.
There is a popular anecdote about a computer programmer who, just for a lark, spent days setting up the machine to destroy itself, then watched delightedly as the computer dutifully proceeded to commit suicide. (2)_______.
To me the controversy boils down to a definition of the word think . There is no area in physiology that is less understood than the human brain . Practically all that is known is that the brain contains some ten billion tiny cells called neurons. (3) _________.The completely materialistic view is that neurons, along with an extraordinary network of nerve-communication lines, comprise all that is to the brain. But such an explanation fails to account for how the brain originates thought.
(4)_______. The brain has roughly a million times as many components as the best computer. On the other hand, the difference may lie in a spiritual factor, embraced by religion. At any rate, a machine cannot exercise free will or originate anything-not yet. Whether it ever will is still an open argument.
Computers can already do a lot of surprising things, which include predicting the weather. (5)________, but this, as well as most of the other tasks now performed by the thinking machines, is routine, requiring thinking of a very low order.
A. Apparently neurons are elementary memory units, capable of storing the same kind of information "bits" that a machine can store.
B. The machine is able to make forecasts by assimilating vast quantities of data
C. The machine is composed of different elements rather than memory units
D. If that machine could have thought, would it not have circumvented him?
E. Evidently, he thinks machines can think.
F. Probably the clearest differentiation between man and machine is a quantitative one
Trả lời cho các câu 146879, 146880, 146881, 146882, 146883 dưới đây:
Đáp án đúng là: A
E
Tiếp nối những câu ở trên (A machine, therefore, can think.” Famed mathematician Norbert Wiener, of MIT, envisions a machine that can learn and will "in no way be obliged to make such decisions as we should have made, or will be acceptable to us.") thì câu phù hợp nhất là Evidently, he thinks machines can think.( Rõ ràng, ông nghĩ rằng máy có thể suy nghĩ.)
Đáp án đúng là: A
D
Có một giai thoại phổ biến về một lập trình viên máy tính người mà, chỉ cần một sự đùa cợt, đã dành hàng ngày liền thiết lập máy để tiêu diệt chính nó, sau đó theo dõi khoái trá khi máy tính đúng theo bổn phận tiến tới tự tử.
Vậy câu phù hợp tiếp theo là If that machine could have thought, would it not have circumvented him? Nếu cỗ máy đó có suy nghĩ, liệu điều đó có huỷ diệt nó?
Đáp án đúng là: A
A
Câu phía trước đang kết thúc ở neurons, vì thế câu đằng sau phù hợp là Apparently neurons are elementary memory units, capable of storing the same kind of information "bits" that a machine can store.
Đáp án đúng là: A
F
Câu đằng sau: The brain has roughly a million times as many components as the best computer
Vì thế có thể đoán câu đằng trước nói về sự khác biệt giữa con người và máy móc (Probably the clearest differentiation between man and machine is a quantitative one)
Đáp án đúng là: A
B
Câu trước đang dừng ở “predicting the weather” vì thế câu tiếp sau sẽ là: The machine is able to make forecasts by assimilating vast quantities of data
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