black box

简明释义

黑盒

英英释义

例句

1.In software development, a black box refers to a system whose internal workings are not visible.

在软件开发中，黑匣子指的是内部工作不可见的系统。

2.The flight data recorder is often referred to as a black box.

飞行数据记录仪通常被称为黑匣子。

3.Researchers used a black box model to analyze the complex data without revealing the underlying algorithms.

研究人员使用黑匣子模型分析复杂数据，而不揭示底层算法。

4.To understand how the machine works, we need to open the black box and examine its components.

要理解机器是如何工作的，我们需要打开黑匣子并检查其组件。

5.The black box of the car collects data on driving patterns and performance.

汽车的黑匣子收集驾驶模式和性能的数据。

作文

In the field of science and engineering, the term black box refers to a system or device whose internal workings are not known or are not accessible. This concept is particularly relevant when we analyze complex systems where understanding every component is impractical. For example, in aviation, the flight data recorder, commonly known as the black box, captures crucial information about an aircraft's performance and cockpit conversations. This data becomes invaluable during investigations following an accident, even though the details of how the device operates may remain obscure to many. The black box serves as a metaphor for any situation where inputs and outputs can be observed, but the process connecting them is hidden from view.Moreover, the black box concept can also be applied in various fields such as economics and psychology. In economics, certain models predict consumer behavior based on observable factors like income and prices, while the underlying motivations and decision-making processes remain a mystery. Similarly, in psychology, behaviorists often treat the mind as a black box, focusing solely on observable behaviors rather than delving into the cognitive processes that drive them.The utility of the black box approach lies in its ability to simplify complex phenomena. By treating a system as a black box, researchers can concentrate on input-output relationships without getting bogged down by intricate details. This method fosters innovation, as it allows scientists and engineers to develop solutions based on empirical data rather than theoretical assumptions. For instance, machine learning algorithms can be seen as black boxes that generate predictions based on vast amounts of data without revealing the exact mechanisms behind their reasoning.However, relying too heavily on black boxes can lead to challenges. In fields like artificial intelligence, the black box nature of some algorithms raises concerns about accountability and transparency. When decisions are made by systems whose inner workings are not understood, it becomes difficult to trust their outcomes. This issue has sparked debates about the ethical implications of using black box algorithms in critical areas such as healthcare, criminal justice, and finance.In conclusion, the term black box encapsulates a powerful concept that transcends disciplines. It allows us to navigate complexity by focusing on observable inputs and outputs while acknowledging the limitations of our understanding. However, it is essential to balance the benefits of this approach with a commitment to transparency and accountability, especially as we continue to integrate black box technologies into our daily lives. As we advance into an era dominated by artificial intelligence and complex systems, recognizing the implications of the black box will be crucial for ensuring responsible and ethical innovation.

在科学和工程领域，术语黑箱指的是一个系统或设备，其内部工作原理未知或不可接触。这个概念在我们分析复杂系统时尤为相关，因为理解每个组件是不切实际的。例如，在航空领域，飞行数据记录仪，通常被称为黑箱，捕获有关飞机性能和驾驶舱对话的重要信息。在事故发生后，这些数据在调查中变得非常宝贵，尽管许多人可能无法了解该设备的操作细节。黑箱作为隐喻，适用于任何可以观察输入和输出但连接它们的过程在视野之外的情况。此外，黑箱概念还可以应用于经济学和心理学等多个领域。在经济学中，某些模型根据可观察因素如收入和价格预测消费者行为，而潜在的动机和决策过程仍然是一个谜。同样，在心理学中，行为主义者通常将心智视为黑箱，专注于可观察的行为，而不是深入研究驱动这些行为的认知过程。黑箱方法的实用性在于它能够简化复杂现象。通过将系统视为黑箱，研究人员可以集中精力关注输入输出关系，而不必被复杂的细节所困扰。这种方法促进了创新，因为它使科学家和工程师能够基于实证数据而非理论假设开发解决方案。例如，机器学习算法可以被视为黑箱，它根据大量数据生成预测，而不揭示其推理背后的确切机制。然而，过于依赖黑箱可能会导致挑战。在人工智能等领域，某些算法的黑箱特性引发了关于问责制和透明度的担忧。当由其内部工作原理不明的系统做出决策时，信任其结果变得困难。这一问题引发了关于在医疗、刑事司法和金融等关键领域使用黑箱算法的伦理影响的辩论。总之，术语黑箱概括了一个超越学科的强大概念。它使我们能够通过关注可观察的输入和输出来应对复杂性，同时承认我们理解的局限性。然而，平衡这种方法的好处与对透明度和问责制的承诺至关重要，尤其是在我们继续将黑箱技术融入日常生活的过程中。随着我们进入一个以人工智能和复杂系统为主导的时代，认识到黑箱的影响将对确保负责任和伦理的创新至关重要。