In the 1920s, the pioneers of artificial intelligence (AI) predicted that, by the end of this century, computers would be conversing with us at work and robots would be performing our housework. But as useful as computers are, they are nowhere close to achieving anything remotely resembling these early aspirations for humanlike behavior. Never mind something as complex as conversation: the most powerful computers struggle to reliably recognize the shape of an object, the most elementary of tasks for a ten-month-old kid.
A growing group of AI researchers think they know where the field went wrong. The problem, the scientists say, is that AI has been trying to separate the highest, most abstract levels of thought, like language and mathematics, and to duplicate them with logical, step-by-step programs. A new movement in AI, on the other hand, takes a closer look at the more roundabout way in which nature cam
A. are capable of reliably recognizing the shape of an object
B. are close to exhibiting humanlike behavior
C. are not very different in their performance from those of the 50’s
D. still cannot communicate with people in human language
In the 1920s, the pioneers of artificial intelligence (AI) predicted that, by the end of this century, computers would be conversing with us at work and robots would be performing our housework. But as useful as computers are, they are nowhere close to achieving anything remotely resembling these early aspirations for humanlike behavior. Never mind something as complex as conversation: the most powerful computers struggle to reliably recognize the shape of an object, the most elementary of tasks for a ten-month-old kid.
A growing group of AI researchers think they know where the field went wrong. The problem, the scientists say, is that AI has been trying to separate the highest, most abstract levels of thought, like language and mathematics, and to duplicate them with logical, step-by-step programs. A new movement in AI, on the other hand, takes a closer look at the more roundabout way in which nature cam
A. the shift of focus of study onto the recognition of the shapes of objects
B. the belief that human intelligence cannot be duplicated with logical, step-by-step programs
C. the aspirations of scientists to duplicate the intelligence of a ten-month-old child
D. the efforts made by scientists in the study of the similarities between transistors and brain cells
The two claws of the mature American
lobster are decidedly different from each other. The crusher claw is short and
stout; the cutter claw is long and slender. Such bilateral asymmetry, in which
the right side of the body is, in all other respects, a mirror image of the left
side, is not unlike handedness in humans. But where the majority of humans are
right-handed, in lobsters the crusher claw appears with equal probability on
either the right side or left side of the body. Bilateral asymmetry of the claws comes about gradually. In the juvenile fourth and fifth stages of development, the paired claws are symmetrical and cutterlike. Asymmetry begins to appear in the juvenile sixth stage of development, and the paired claws further diverge toward well-defined cutter and crusher claws during succeeding stages. An intriguing aspect A. drawing an analogy between asymmetry in lobsters and handed in humans. B. developing a method for predicating whether crusher claws in lobster will appear on the left or right side C. explaining differences between lobsters’ crusher claws and cutter claws D. discussing a possible explanation for the way bilateral asymmetry is determined in lobsters [单项选择]Passage Two
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