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To make artificial intelligence that can reason and apply knowledge flexibly, many researchers are focused on fresh ideas from neuroscience (神经科学). Should they be looking to psychology too? Researchers are working to develop new AI systems that can figure out simple abstract relations between objects and the reason behind them as effortlessly as a human brain.

Artificial intelligence has come a long way. In recent years, smart machines inspired by the human brain have shown superhuman abilities in games like chess and Go, proved remarkably expert at imitating some of our language skills. But with various other aspects of what we might reasonably call human intelligence — reasoning, understanding causality (因果关系), applying knowledge flexibly, to name a few — AIs still struggle. They are also inefficient learners, requiring large amounts of data where humans need only a few examples.

Some researchers think all we need to bridge the gap is ever larger AIs, while others want to turn back to nature’s blueprint. One path is to double down on efforts to copy the brain, better replicating (复制) the intricacies of real brain cells and the ways their activity is arranged. But the brain is the most complex object in the known universe and it is far from clear how much of its complexity we need to replicate to reproduce its capabilities.

That’s why some believe more abstract ideas about how intelligence works can provide shortcuts. Their claim is that to really accelerate the progress of AI towards something that we can say thinks like a human, we need to imitate not the brain — but the mind. “In some sense, they’re just different ways of looking at the same thing, but sometimes it’s profitable to do that,” says Gary Marcus at New York University and start-up Robust AI. “You don’t want a replica, what you want is to learn the principles that allow the brain to be as effective as it is.”

【小题1】What do we know about the current AI?
A.They are good at reasoning.B.They have amazing learning ability.
C.They can't understand complex information.D.They lack some elements of real intelligence.
【小题2】What can we infer from Paragraph 3?
A.People fail to understand the complexity of the brain.
B.Scientists need to focus on the structure of the brain.
C.The attempt to copy the brain might be unrealistic.
D.Scientists are doubtful about the future of AI.
【小题3】What does Gary Marcus suggest researchers do to advance AI?
A.Make AI more creative.B.Teach more principles to AI.
C.Study how intelligence works.D.Update their knowledge constantly.
【小题4】What is a suitable title for the text?
A.Are the Smart Machines Intelligent Enough?
B.Make Machine Minds That Really Think Like Us
C.What to Expect with the Future of AI Technology?
D.The Future of AI? Psychology May Provide Fresh Ideas
21-22高一下·重庆·阶段练习
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We usually think of archaeology as involving, brave exploration and lots of tiring digging. But today, long-hidden cities are being revealed from the air, where modern archaeologists use laser beams(激光束) to spot evidence of ancient life buried beneath thick plants.

Lidar, short for “light detection and ranging”(and a cousin of radio-based radar), involves directing a rapid series of laser pulses at the ground from an airplane. Software records the time and wavelength of the pulses reflected from the surface and combines the data with GPS to produce a three-dimensional map of the scene below. These high-tech explorations have revealed long-buried Mayan cities.

In recent years, lidar exposed an ancient city in western Mexico called Angamuco. Built by the Purepecha, who were enemies of the Aztecs, Angamuco was a major civilization in the early 16th century, before Europeans arrived. “To think that this huge city existed in the heartland of Mexico for all this time and nobody knew it was there is kind of amazing”, says Chris Fisher, an archaeologist at Colorado State University who led the team. “You are talking about 40,000 building foundations, which is about the same number of building foundations that are on the island of Manhattan,” says Fisher.

Archaeologists discovered signs of the buried city in 2017 and initially attempted to explore it using a traditional approach. But the team soon realized that with the rough road, it would take at least a decade to outline the entire city. In 2020, they began using lidar to map nearly 14 square miles, revealing an astonishing number of characteristics, from temples to road systems and garden areas. This gave them the “map” they needed to know where to explore further. So far, Fisher and his team have confirmed more than 7,000 architectural remains over a 1.5-square-mile area. All told, researchers now believe that more than 100,000 people lived in angamuco from about 1000 Ce to 1350 CE. That makes it the biggest city in western Mexico at the time.

“Everywhere you point the lidar instrument, you find new things,” says Fisher. “Right now, every textbook has to be rewritten, and two years from now, they're going to have to be rewritten again.”

【小题1】What does the author intend to do in Paragraph 2?
A.To show how lidar works
B.To introduce a recent finding
C.To introduce how lidar was created
D.To show challenges archaeologists meet
【小题2】What is special about Angamuco?
A.It was next to MexicoB.It was hidden very well
C.It was based on the Aztecs' effortsD.It was originally ruled by Europeans
【小题3】What can we learn from the process of revealing Angamuco?
A.Better later than everB.No smoke without fire
C.Make what is good still betterD.Get twice the result with half the effort
【小题4】What do we know about Fisher's work?
A.It is traditionalB.It is trouble-free
C.It is a waste of timeD.It is highly productive.

“How the brain perceives time depends on its expectations. The brain can predict the probability that something is going to occur, given that it hasn’t happened yet,” said Dr. Michael Shadlen, a scientist at Columbia University.

Every thought has various “horizons”, Shadlen told Live Science. In a book, for example, horizons lie at the end of every syllable (音节), the end of every word, the end of the next sentence and so on. Time moves according to how we anticipate these horizons, he said.

When you’re really absorbed in something, the brain anticipates the “big picture”, which makes time seem to fly, Shadlen said. But when you’re bored, you anticipate the closer horizons such as the end of a sentence instead of the end of the story; these horizons aren’t knitted together as a whole, and time slows down.

There isn’t a single spot in the brain that’s responsible for how we perceive time in this way. Rather, any area that gives rise to thought and consciousness is likely involved in this task, Shadlen said. “There are almost certainly a lot of timing mechanisms (机制) in the brain,” added Joe Paton, a scientist at the Champalimaud Foundation in Portugal. One mechanism involves the speed at which brain cells activate one another and form a network when you’re performing an activity. The faster those paths of neurons (神经元) form, the faster we perceive time, Paton and his team have found in some animals, such as rats and squirrels.

Another mechanism involves chemicals in the brain. Again, in rats, Paton and his colleagues found that a set of neurons that releases the neurotransmitter dopamine—an important chemical involved in feeling rewarded—impacts how the brain perceives time. When you’re having fun, these cells are more active. They release a lot of dopamine and your brain judges that less time has passed than actually has. When you’re not having fun, these cells don’t release as much dopamine, and time seems to slow down.

【小题1】What can be learned about “horizons” in a book from paragraph 2?
A.They exist throughout.B.They change our anticipation.
C.They are totally invisible.D.They are very unpredictable.
【小题2】According to Shadlen, we feel the slow passing of time when ________.
A.our brain anticipates the distant horizonsB.we are engaged in something interesting
C.our brain sees the “big picture” of an eventD.we are anxious to see the ending of a sentence
【小题3】What does Paton think plays a role in our way of perceiving time according to Paragraph 4?
A.An unknown chemical in human brain.
B.A specific timing mechanism in the brain.
C.The speed of brain cells forming a network.
D.The function of brain cells activating each other.
【小题4】How does the author make a point in the last paragraph?
A.By describing a process.B.By providing examples.
C.By introducing a concept.D.By listing statistical data.

It’s been 50 years since the beginning of bar codes. Scanning an item at checkout is something we take for granted in this age of convenience. 【小题1】

On March 31, 1971, a historic meeting took place in New York City. The meeting agreed to create a system to uniquely identify every single product, calling it the Global Trade Item Number (GTIN) the core of bar codes, according to El Mudo, a Spanish newspaper. 【小题2】 Today, bar codes are scanned over 6 billion times every day, used by 2 million companies worldwide and remain one of the most trusted symbols in the world, PR Newswire, a US news agency, reported.

【小题3】 Where the product comes from? where it has been? its price expiration (过期时间)… you name it. Bar codes don’t only identify the category of goods but also manage the number of goods. For example, if there are 10 cartons of milk and a consumer takes one, it will be registered when it is scanned at the cash counter, so the store owner knows there are nine left. 【小题4】 The unique identification of products at a global level was the key that opened the door to retail (零售) as we know it today.

In the past five decades, bar codes have provided many conveniences for commerce. “The next generation of bar codes, such as QR codes can hold vastly more information. Their use, for example, can tell consumers if a product contains allergens (过敏原) or if it is organic. 【小题5】” according to GS1, the organization that develops and maintains the global bar codes standard.

A.Time has proved it a great decision.
B.It gives consumers a greater level of trust.
C.What information does a bar code contain?
D.When do we scan a bar code on the product?
E.We can thank the game-changing technology for that.
F.The numbers can indicate where that product is identified,
G.It allows the first digitization in the control of the goods for sale.

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