영어 모의고사 (자동 편성)

Classical economic theory long assumed that decision makers ①gather all relevant information, calculate every possible outcome, and select the single option that maximizes their benefit. Herbert Simon, however, questioned this assumption, ②arguing that human beings operate under real constraints of time, knowledge, and mental capacity that make such exhaustive calculation practically impossible. Instead of searching endlessly for the theoretically perfect choice, people typically stop once they find an option that seems good enough to meet their immediate needs, a strategy Simon ③termed satisficing. A shopper comparing refrigerators, for example, rarely examines every model available; she instead sets a few practical criteria, such as price and size, and selects the first appliance that satisfies them adequately. This approach is not a failure of reasoning but rather a sensible adaptation to a world where information is costly and time is genuinely limited. Consequently, models assuming unlimited rationality often fail to predict actual behavior, while frameworks ④acknowledge these cognitive boundaries offer a far more realistic account of how ordinary decisions are ⑤made.

When people are ①asked to judge how risky or beneficial a particular technology is, they rarely conduct anything ②resembling a careful cost-benefit analysis. Instead, they consult a quick emotional impression, an instinctive sense of whether the technology feels good or feels bad, and let that impression guide their entire judgment. This mental shortcut, ③known as the affect heuristic, produces a curious pattern that traditional risk theory struggles to explain: activities people like tend to be judged as both safer and more beneficial, while activities they dislike are judged as both riskier and less beneficial, even when no logical relationship between risk and benefit exists. For example, when researchers ④presented a fictional industrial chemical alongside a brief description emphasizing its convenience, participants rated it not only as more useful but also, illogically, as less dangerous. Because emotional impressions form so rapidly and feel so trustworthy, correcting for this heuristic requires deliberate effort; simply presenting more accurate statistics to already anxious or enthusiastic audiences rarely ⑤change their underlying judgment.

A rational approach to decision-making dictates that only future costs and benefits should influence a choice, since resources already spent ①cannot be recovered regardless of what is decided next. In practice, however, people routinely allow such irrecoverable expenditures, known as sunk costs, ②to shape their subsequent decisions, a pattern referred to as the sunk cost fallacy. A moviegoer who finds a film thoroughly disappointing after the first thirty minutes will often remain in the theater until the credits roll, ③reasoning that leaving early would somehow waste the money already spent on the ticket. Organizations exhibit the same fallacy on a larger scale: a company that ④have invested heavily in a failing project frequently continues funding it, arguing that abandoning the project now would render the prior investment meaningless. Yet continuing to invest in a venture destined to fail merely adds new losses to old ones, ⑤compounding the very waste the decision-makers hoped to avoid.

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

Cognitive load theory begins from the premise that working memory, the mental workspace in which incoming information is temporarily held and manipulated, _______________, in stark contrast to the comparatively vast capacity of long-term memory. When instructional materials introduce more interacting elements than this narrow workspace can simultaneously process, learners experience what theorists call cognitive overload, a condition under which comprehension deteriorates and errors multiply regardless of how motivated the learner might be. Because much of this burden arises not from the intrinsic difficulty of the subject matter itself but from the manner in which information is presented, instructional designers can substantially reduce unnecessary strain by eliminating redundant explanations, aligning visual and verbal elements so that learners need not mentally integrate scattered sources, and gradually withdrawing guidance as competence develops. Ignoring these principles, by contrast, risks overwhelming novices with demands that exceed their processing capacity, however well-organized the underlying content may be.

As more schools shift toward digital textbooks and online assignments, a student without reliable internet access at home faces a disadvantage that has little to do with talent or effort. Some policymakers initially treated internet access as a convenience, comparable to cable television, rather than as infrastructure essential to modern life. That assumption is increasingly being reconsidered, particularly as _______________. Closing this divide will require more than simply distributing devices.

Students are frequently told that where they study makes little difference, provided that they put in enough hours. Cognitive research on memory retrieval, however, suggests that this advice oversimplifies an important process. According to the encoding specificity principle, information becomes intertwined with the context in which it was originally learned. Cues present during encoding therefore facilitate retrieval far more effectively than cues encountered elsewhere. A striking demonstration involved divers who memorized word lists either underwater or on dry land. When tested later, _______________. This held true regardless of which environment that happened to be. This finding implies that reviewing material exclusively in a quiet bedroom may not adequately prepare a student for the noisy atmosphere of an actual examination hall. Rather than assuming that memorization is a context-free process, students ought to consider deliberately varying study locations and conditions. Doing so would ensure that retrieval cues remain available regardless of how a future test is administered.

A biosensor works by pairing a biological component, such as an enzyme or antibody, with an electronic device that converts a biological reaction into a signal a computer can read. When the target molecule binds to the biological component, it triggers a small measurable change that the device translates into a readable number. This design has already transformed diabetes management, letting patients monitor blood sugar continuously through a small sensor worn under the skin rather than pricking a finger several times a day. Engineers are now racing to extend the same principle to detect subtler targets, from cancer cells circulating in the bloodstream to trace contaminants in drinking water. _______________.

Facial recognition software has moved rapidly from airport security lines into shopping malls, schools, and even private apartment buildings. (A) Independent studies, however, have repeatedly found that many commercial systems perform less accurately on women and people with darker skin tones. (B) Proponents note that the technology can unlock doors, catch shoplifters, and speed up identity checks far faster than any human guard could manage. (C) Several cities have already reported cases in which an innocent person was detained based on a flawed match.

Turning this tide has proven far harder than creating it, and not merely for scientific reasons. Every time an antibiotic kills off a population of bacteria, a handful of cells carrying a random mutation that resists the drug are left behind to multiply without competition. ( ① ) Repeated over decades, across hospitals, farms, and households worldwide, this simple process of natural selection has produced strains of bacteria that survive treatments once considered reliably effective. ( ② ) The pharmaceutical industry, meanwhile, has slowed the pace at which new antibiotics reach the market, since a drug meant to be taken for only a week or two rarely earns back the enormous cost of developing it. ( ③ ) Researchers are therefore searching in unconventional places, screening soil microbes and ocean sediment for molecules that kill bacteria through new mechanisms. ( ④ ) Even genetic databases are now mined for such molecules, ones resistant strains have not yet learned to evade. ( ⑤ ) Some scientists have also revived an older approach, using viruses that infect only bacteria to hunt down resistant strains with a precision no broad-spectrum drug could ever match.