induction

简明释义

英[ɪnˈdʌkʃn]美[ɪnˈdʌkʃn]

n. 就职，就职仪式；<美>征召入伍；导致，引导；引产，催生；归纳，归纳法；电磁感应；（内燃机）进气，吸气

复 数 i n d u c t i o n s

英英释义

单词用法

同义词

反义词

例句

1.By contrast, the Tesla Roadster USES just one gear-such is the flexibility of its three-phase induction motor.

相反地，特斯拉跑车公司只需要动用一个传动设备——那就是三相诱导式发动机的灵活性。

2.The relation between the completeness of several local convex topology and that of induction topology was pointed out in this paper.

指出了几种局部凸拓扑的完整性与感应拓扑的完整性之间的关系。

3.So scepticism about induction is an example of horizontal scepticism.

如此一来，关于归纳法的怀疑论就属于水平怀疑论。

4.Because it always has been again we are relying on induction aren't we?

因为一直是这样，我们所依赖的归纳，不是吗？

5.But I decided to start with induction and then go into validity and truth next week.

但是我决定从归纳开始，然后下周将有效性和真理。

6.The claim is that induction is rational by definition.

其论调认为归纳法是理性的定义。

7.The company held an induction 入职培训 session for all new employees.

公司为所有新员工举办了一个入职培训会议。

8.During the induction 引导 process, trainees learned about the company's policies.

在引导过程中，培训生了解了公司的政策。

9.The teacher explained the concept of induction 归纳法 in mathematics.

老师在数学课上解释了归纳法的概念。

10.She attended a workshop on induction 感应加热 technologies.

她参加了关于感应加热技术的研讨会。

11.The doctor used induction 诱导 therapy to help with the patient's recovery.

医生使用诱导疗法来帮助患者恢复。

作文

The concept of induction (归纳法) plays a crucial role in both science and philosophy. It refers to the process of reasoning from specific cases to general principles. This method is essential for forming hypotheses and theories based on observed phenomena. For instance, when scientists observe that a certain chemical reaction occurs under specific conditions repeatedly, they may use induction (归纳法) to propose a general rule about that reaction. This approach allows them to predict future occurrences based on past observations. In everyday life, we often rely on induction (归纳法) without even realizing it. When we notice that the sun rises in the east every morning, we conclude that it will rise in the east tomorrow as well. This type of reasoning is intuitive and forms the basis of our understanding of the world. However, induction (归纳法) can be problematic because it does not guarantee truth. Just because something has happened consistently in the past does not mean it will always happen in the future. Philosophers like David Hume have critiqued the reliability of induction (归纳法). He argued that our reliance on past experiences to predict future events lacks a rational foundation. This skepticism raises important questions about the nature of knowledge and certainty. Despite these critiques, induction (归纳法) remains a fundamental aspect of scientific inquiry. Scientists continue to use this method to develop theories while also acknowledging its limitations. In the field of mathematics, induction (归纳法) takes on a more formal structure known as mathematical induction. This technique is used to prove statements or formulas that are believed to be true for all natural numbers. The process involves two main steps: proving the base case and then demonstrating that if the statement holds for an arbitrary case, it must also hold for the next case. This rigorous form of induction (归纳法) provides a solid foundation for many mathematical theories and proofs. Moreover, induction (归纳法) is not limited to scientific or mathematical contexts; it also influences fields such as psychology and social sciences. Researchers often use induction (归纳法) to gather data and formulate theories about human behavior. By observing patterns in people's actions, psychologists can develop general principles that explain why individuals behave in certain ways under specific circumstances. In conclusion, induction (归纳法) is a powerful tool for reasoning and understanding the world around us. It allows us to make predictions and develop theories based on observed evidence. While it is not without its challenges and limitations, the process of induction (归纳法) remains integral to scientific research, mathematics, and various other disciplines. Embracing both the strengths and weaknesses of induction (归纳法) can lead to more robust conclusions and a deeper appreciation for the complexities of knowledge acquisition.

‘归纳法’的概念在科学和哲学中扮演着至关重要的角色。它指的是从具体案例推理到一般原则的过程。这种方法对于根据观察到的现象形成假设和理论至关重要。例如，当科学家观察到某种化学反应在特定条件下反复发生时，他们可能会使用‘归纳法’来提出关于该反应的一般规则。这种方法使他们能够根据过去的观察预测未来的发生。 在日常生活中，我们经常在不知不觉中依赖‘归纳法’。当我们注意到太阳每天早晨从东方升起时，我们得出明天也会从东方升起的结论。这种推理方式是直观的，构成了我们对世界理解的基础。然而，‘归纳法’可能会出现问题，因为它并不能保证真理。仅仅因为某件事情在过去一直发生，并不意味着它在未来也会发生。 哲学家如大卫·休谟对‘归纳法’的可靠性提出了批评。他认为，我们依赖过去的经验来预测未来事件缺乏理性基础。这种怀疑引发了关于知识和确定性本质的重要问题。尽管有这些批评，‘归纳法’仍然是科学探究的基本方面。科学家们继续使用这种方法发展理论，同时也承认其局限性。 在数学领域，‘归纳法’采用了一种更为正式的结构，称为数学归纳法。这一技术被用来证明被认为对所有自然数都成立的陈述或公式。这个过程包括两个主要步骤：证明基本情况，然后证明如果在任意情况下该陈述成立，则也必须在下一个情况下成立。这种严格的‘归纳法’为许多数学理论和证明提供了坚实的基础。 此外，‘归纳法’不仅限于科学或数学背景；它还影响着心理学和社会科学等领域。研究人员通常使用‘归纳法’收集数据并制定关于人类行为的理论。通过观察人们行为中的模式，心理学家可以发展出解释个体在特定情况下为何以某种方式行事的一般原则。 总之，‘归纳法’是推理和理解我们周围世界的强大工具。它使我们能够根据观察到的证据做出预测并发展理论。尽管它并非没有挑战和局限性，但‘归纳法’的过程仍然是科学研究、数学和各种其他学科不可或缺的部分。接受‘归纳法’的优缺点可以导致更稳健的结论，并更深入地理解知识获取的复杂性。