영어 모의고사 (자동 편성)

The ancient puzzle known as the ship of Theseus asks a deceptively ①simple question. If every plank of a wooden ship is replaced one by one over many years, is the vessel that eventually results still the same ship it once was? Most people's first instinct is to answer yes, since each individual replacement seems too ②small to erase the ship's identity. The puzzle grows far ③duller, however, once a second twist is introduced. Suppose a careful collector gathered every discarded plank and reassembled them into a second vessel, built exactly as the original once stood. Two ships would then exist side by side, each with an equal claim to being the ④genuine one, and no obvious way to decide between them. Philosophers return to this old story again and again, not because they care about timber, but because it forces us to ask whether identity depends on continuous material, continuous form, or some deeper thread that neither one can fully ⑤explain.

Picture a woman who receives a plain ceramic mug as a free gift at a conference and, later that afternoon, ①refuses to sell it for anything less than triple its price in the gift shop downstairs. Before she owned the mug, she would never have paid extra for it; once it became hers, however, its value in her mind ②declined sharply, simply because she now possessed it. Researchers have ③repeatedly observed this pattern across many everyday objects, from coffee mugs and concert tickets to office chairs and old furniture inherited from relatives. Owners ④consistently demand more money to give something up than buyers are willing to offer for that very same item, revealing a curious asymmetry rooted purely in possession itself. Some economists argue that this effect explains why negotiations over inherited property so often ⑤collapse, since each side quietly attaches a different value to what it currently holds.

Anyone who has tried to name the ink color of a word like red printed in blue letters knows how surprisingly difficult the task can feel. This everyday struggle, known as the Stroop effect, deserves more attention than casual curiosity grants it, because it reveals something fundamental about how the mind allocates its limited resources. Reading a familiar word is an automatic process practiced so extensively since childhood that it proceeds almost involuntarily, whereas naming a color requires deliberate, controlled attention. When these two processes point toward conflicting answers, _______________. Educators should not dismiss this delay as a trivial curiosity confined to laboratories, since the same competition between habit and intention underlies far more consequential situations, such as a driver's struggle to resist checking a phone despite knowing the danger. Recognizing how automatic responses can hijack conscious intentions is essential for designing environments, from classrooms to highways, that support rather than undermine our efforts at self-control.

Why do people often overvalue objects they have partly built themselves, even when the finished product is objectively inferior to something they could have simply purchased? This puzzle, which researchers named after a furniture retailer famous for selling items that require home assembly, challenges the standard economic assumption that value is determined solely by an object's inherent qualities. In a series of experiments, participants who assembled a plain storage box were willing to pay nearly as much for their own imperfect creation as they were for a professionally built version, despite being fully aware of its flaws. Labor, it seems, functions as a kind of psychological investment: once effort has been poured into a task, _______________. This tendency helps explain why consumers often prefer products that demand some degree of personal assembly, even when a comparable finished item is available at a lower price and requires no time investment whatsoever.

The eventual collapse of a speculative bubble often unfolds with surprising speed compared with the gradual climb that preceded it. (A) As prices begin to fall, investors who bought near the peak, motivated largely by fear of missing further gains, are often the first to sell, since they have the least conviction in the asset's underlying value. (B) Their selling triggers further price declines, which in turn prompt additional investors to sell out of a newly urgent fear of continued loss rather than a fear of missing out. (C) This reversal illustrates that the same herd psychology driving prices upward can just as easily reverse direction, converting collective optimism into collective panic within a remarkably short period.

Every time a smartphone connects to a cell tower or a Wi-Fi network, it quietly records a data point that can later be pieced together into a detailed map of where its owner has been. (A) Companies often argue that anonymized data cannot be traced back to individuals, yet researchers have repeatedly shown that a handful of location points is enough to identify a specific person. (B) Most users agree to this tracking without reading the fine print, assuming that a single company's database poses little threat. (C) The real danger, however, emerges when location data from multiple sources is combined, revealing a person's home, workplace, and daily route.

In other words, people want the safest outcome for society in theory, but the safest outcome for themselves in practice. When engineers design the software that controls a self-driving car, they inevitably face a question that philosophers have debated for decades. ( ① ) If a crash becomes unavoidable, should the vehicle protect its own passenger at all costs, or should it be programmed to minimize total harm, even if that means steering toward the person inside? ( ② ) Surveys reveal an uncomfortable contradiction: most people say a car should be programmed to save the greater number of lives. ( ③ ) Yet the same people admit they would never buy a vehicle designed to sacrifice its own owner. ( ④ ) This gap between the ideal and the personal choice suggests that ethical programming cannot be settled by public opinion alone. ( ⑤ ) Manufacturers, regulators, and philosophers must instead agree on transparent rules before autonomous vehicles are allowed to make such decisions.

Yet the objective probability of survival in both scenarios is, of course, mathematically identical. Framing effects appear with particular force in decisions involving risk and uncertainty. ( ① ) When physicians describe a treatment option in terms of a survival rate, patients tend to view the treatment favorably and are more inclined to proceed. ( ② ) When the very same statistic is instead presented as a mortality rate, patient enthusiasm for the identical treatment drops noticeably. ( ③ ) This asymmetry persists even among physicians themselves, who might be expected to evaluate probabilities more analytically than the general public. ( ④ ) The persistence of this bias among trained professionals suggests that framing effects operate below the level of deliberate reasoning, influencing judgment before conscious analysis even begins. ( ⑤ ) Understanding this tendency allows communicators to present information more responsibly, regardless of which frame ultimately proves more persuasive.

Meanwhile, the underlying technology continues to advance regardless of whether the diplomacy meant to govern it keeps pace. Military researchers have developed weapons systems capable of identifying and engaging targets without a human pressing the final button, a prospect that has alarmed arms control experts for over a decade. ( ① ) Advocates within defense agencies argue that autonomous systems can react faster than any human operator and may even reduce casualties. ( ② ) Human rights organizations counter that removing a person from the final decision strips away moral responsibility at the exact moment it matters most. ( ③ ) Diplomatic negotiations toward an international treaty have repeatedly stalled, partly because military powers disagree on how to define autonomy precisely enough to regulate it. ( ④ ) This disagreement has left the treaty process without a clear path forward. ( ⑤ )

Until clearer rules emerge, artists, developers, and publishers remain locked in a legal gray zone that satisfies almost no one. Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work, much of which was created without the artists' knowledge or consent. ( ① ) Supporters of the technology argue that this process resembles how a human student learns by studying the masters. ( ② ) Critics respond that the comparison breaks down at scale, since a single AI model can absorb millions of works in days. ( ③ ) Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as infringement. ( ④ ) This is a question the law was never designed to answer. ( ⑤ )