inductive
简明释义
adj. 归纳的，归纳法的；电感的，磁感的；诱导的
英英释义
单词用法
归纳法；感应电磁勘探法 | |
诱导效应 |
同义词
反义词
| 演绎的 | Deductive reasoning involves drawing specific conclusions from general principles. | 演绎推理涉及从一般原则得出具体结论。 |
例句
1.The premise is that the house is a mess. Inductive or deductive?
前提是房子很乱，归纳还是演绎？
2.A modern inductive coupling like Fulton's can have an efficiency of more than 98%.
富尔顿公司的现代电感耦合技术转换效率超过98%。
3.That's a strong inductive argument, why isn't that a deductive argument?
这是个有力的归纳论点，为什么不是演绎论点呢？
4.Good, really. Okay last inductive argument.
好，最后一个归纳论点。
5.And by moral evidence, Hume means inductive reasoning, reasoning from experience.
关于道德证据，休谟认为是归纳的推理，推理则来自于经验。
6.Inductive reasoning moves from specific details to broader generalizations.
归纳推理是从具体中归纳普遍的规律。
7.remind me what an inductive argument is.
记得提醒我什么是归纳论点。
8.As I said all inductive arguments are based on inductive generalizations.
就像我说的所有的归纳论点都是，基于归纳推广的。
9.In the meantime, let's continue our discussion of recursing of inductive data sets.
在此，我们继续讨论归纳数据集的递归。
10.The scientist used inductive reasoning to form a hypothesis based on the observed data.
科学家使用归纳推理根据观察到的数据形成假设。
11.In mathematics, inductive proofs are often used to establish the validity of a statement for all natural numbers.
在数学中，归纳证明常用于建立一个陈述对所有自然数的有效性。
12.His inductive approach led him to discover patterns that others had overlooked.
他的归纳方法使他发现了其他人忽视的模式。
13.An inductive argument is one where the premises support the conclusion but do not guarantee it.
归纳论证是一种前提支持结论但不保证其正确性的论证。
14.The teacher encouraged students to use inductive methods to derive formulas from specific examples.
老师鼓励学生使用归纳方法从具体例子中推导公式。
作文
In the realm of science and philosophy, reasoning plays a crucial role in how we understand the world around us. One of the most significant forms of reasoning is known as inductive reasoning. This method involves making generalizations based on specific observations or experiences. For example, if we observe that the sun has risen in the east every morning of our lives, we might conclude that the sun always rises in the east. This conclusion, while not universally proven, is derived from repeated observations, showcasing the essence of inductive reasoning. The strength of inductive reasoning lies in its ability to form hypotheses and theories that can be tested further. Scientists often use this approach to formulate their initial ideas before conducting experiments. For instance, when researchers notice that certain plants thrive in particular soil types, they may hypothesize that those plants require specific nutrients found in that soil. This hypothesis is an inductive leap from specific instances to a broader conclusion. However, it is essential to recognize the limitations of inductive reasoning. While it can lead to plausible conclusions, these conclusions are not guaranteed to be true. The classic example is the famous saying, "All swans are white," which was based on observations made in Europe. However, the discovery of black swans in Australia disproved this conclusion, highlighting that inductive reasoning can sometimes lead us astray. In contrast to inductive reasoning, there is deductive reasoning, which starts with a general statement or hypothesis and examines the possibilities to reach a specific, logical conclusion. While both methods are valuable, they serve different purposes in the scientific process. Inductive reasoning is often used to generate new ideas, while deductive reasoning is employed to test those ideas. In everyday life, we also engage in inductive reasoning without even realizing it. For instance, when we meet several friendly dogs, we might generalize that all dogs are friendly. This type of reasoning helps us navigate our daily interactions and make decisions based on past experiences. Furthermore, the application of inductive reasoning extends beyond science and everyday life into fields such as marketing, education, and artificial intelligence. Marketers analyze consumer behavior through inductive reasoning to predict future trends and preferences. In education, teachers utilize inductive methods to help students discover concepts through examples rather than rote memorization. Similarly, in artificial intelligence, machine learning algorithms often rely on inductive reasoning to identify patterns and make predictions based on data. In conclusion, inductive reasoning is a fundamental aspect of how we learn and understand our environment. It allows us to build knowledge from specific observations, paving the way for new theories and ideas. While it has its limitations, the ability to draw general conclusions from particular instances is invaluable in various fields. As we continue to explore and question the world around us, inductive reasoning will remain a vital tool in our quest for understanding.
在科学和哲学领域，推理在我们理解周围世界的方式中起着至关重要的作用。其中一种重要的推理形式被称为归纳推理。这种方法涉及根据特定的观察或经验进行概括。例如，如果我们观察到太阳每天早上都从东方升起，我们可能会得出结论，太阳总是从东方升起。这个结论虽然没有普遍证明，但它是基于反复观察得出的，展示了归纳推理的本质。归纳推理的强大之处在于它能够形成可以进一步测试的假设和理论。科学家们常常使用这种方法来制定初步想法，然后进行实验。例如，当研究人员注意到某些植物在特定土壤类型中茁壮成长时，他们可能会假设这些植物需要该土壤中所含的特定营养物质。这个假设是从具体实例到更广泛结论的归纳推理。然而，必须认识到归纳推理的局限性。虽然它可以得出合理的结论，但这些结论并不一定是真实的。经典的例子是著名的说法：“所有天鹅都是白色的”，这是基于在欧洲的观察。然而，在澳大利亚发现的黑天鹅推翻了这一结论，突显了归纳推理有时可能导致我们误入歧途。与归纳推理相对的是演绎推理，它从一般陈述或假设开始，检查各种可能性以得出特定的逻辑结论。虽然这两种方法都很有价值，但它们在科学过程中服务于不同的目的。归纳推理通常用于生成新想法，而演绎推理则用于测试这些想法。在日常生活中，我们也在不知不觉中参与归纳推理。例如，当我们遇到几只友好的狗时，我们可能会概括认为所有狗都是友好的。这种类型的推理帮助我们在日常互动中导航，并根据过去的经验做出决策。此外，归纳推理的应用超越了科学和日常生活，扩展到市场营销、教育和人工智能等领域。市场营销人员通过归纳推理分析消费者行为，以预测未来的趋势和偏好。在教育中，教师利用归纳方法通过示例帮助学生发现概念，而不是死记硬背。同样，在人工智能中，机器学习算法通常依赖于归纳推理来识别模式和根据数据做出预测。总之，归纳推理是我们学习和理解环境的基本方面。它使我们能够从特定观察中建立知识，为新的理论和想法铺平道路。尽管它有其局限性，但从特定实例中得出一般结论的能力在各个领域都是无价的。随着我们继续探索和质疑周围的世界，归纳推理将继续成为我们寻求理解的重要工具。
