推理判断题主要考查学生根据文章的字面意思，通过语篇逻辑关系，研究细节的暗示，推敲作者的态度，理解文章的寓意等。推理判断题属于主观性较强的高层次阅读理解题。做这类题时，考生应在理解全文的基础上，从文章本身所提供的信息出发，运用逻辑思维，同时借助一定的常识进行分析、推理、判断。 提问整篇文章或某句某段的含蓄意思时，问句中都含有infer, imply, indicate, suggest (推断，暗指等词。对付这类题时我们不仅要弄懂文章字面的意思，更重要的是要知道文章潜在的含义，和作者所给的提示。同时要对文章的含义和作者的暗示作合理的猜测和推论。这种问题的提问方式通常有： 1.From paragraph 4 we can infer that. / What can be inferred from the passage? / From the last paragraph we can infer that . 2.We can infer from the text that…/ What can we learn from…? / We can conclude from the passage that… 3.The last sentence of the first paragraph most probably implies that. 4.The author implies that by the year 2080, . 5.To solve the present social problems the author suggests that we should. 6.The author mentions the fact that…to show. 7. This passage would most likely be found in _________? 8.The author’s attitude toward …is _________? 9. The tone of the passage can best be described as _________? 这些提问方式的答案一般在短文中不可能直接找到，必须根据提问中的某些关键字眼与短文中相应的有关内容加以逻辑推理或演算，从而得出某些作者并未说明却已在字里行间所暗含的意思及观点。具体的说，考生应当注意以下几点： 1.首先要注意一定要忠实于原文，以文章提供的事实和线索为依据。立足已知，推断未知，遵循“词不离句，句不离段，段不离篇”的原则。千万不能主观臆想，凭空想象，随意揣测，更不能以自己的观点代替作者的观点。 2.要吃透文章的字面意思，从字里行间捕捉有用的提示和线索，这是推理的前提和基础。有的推断，考生完全可以根据文章中所阐述的细节，再结合自己所掌握的基础知识、有关背景知识或常识来帮助进行分
（2020·北京高考真题）Certain forms of AI are indeed becoming ubiquitous. For example, algorithms (算法carry out huge volumes of trading on our financial markets, self-driving cars are appearing on city streets, and our smartphones are translating from one language into another. These systems are sometimes faster and more perceptive than we humans are. But so far that is only true for the specific tasks for which the systems have been designed. That is something that some AI developers are now eager to change. Some of today’s AI pioneers want to move on from today’s world of “weak” or “narrow” AI, to create “strong” or “full” AI, or what is often called artificial general intelligence (AGI. In some respects, today’s powerful computing machines already make our brains look weak. A GI could, its advocates say, work for us around the clock, and drawing on all available data, could suggest solutions to many problems. DM, a company focused on the development of AGI, has an ambition to “solve intelligence”. “If we’re successful,” their mission statement reads, “we believe this will be one of the most important and widely beneficial scientific advances ever made.” Since the early days of AI, imagination has outpaced what is possible or even probable. In 1965, an imaginative mathematician called Irving Good predicted the eventual creation of an “ultra-intelligent machine…that can far surpass all the intellectual (智力的 activities of any man, however clever.” Good went on to
