cybernetics
简明释义
英[ˌsaɪbəˈnetɪks]美[ˌsaɪbərˈnetɪks]
n. 控制论
英英释义
单词用法
控制系统 | |
控制反馈 | |
控制模型 | |
控制通信 | |
控制论原理 | |
控制论应用 | |
生物学中的控制论 | |
控制论与人工智能 |
同义词
反义词
无政府状态 | The country fell into anarchy after the government was overthrown. | 在政府被推翻后,这个国家陷入了无政府状态。 | |
混乱 | 在混乱的时刻,维持秩序是困难的。 |
例句
1.It is a bold exploration into the application of cybernetics to geological engineering construction.
这是将控制论应用于地质工程建设的一个大胆探索。
2.You're resurrected with cybernetics and nanotechnology so that you can go on a suicide mission to discover why colonies of humans are disappearing.
你在神经机械学和纳米技术下复活,让你能够执行一个自杀任务,去发现为什么人类殖民地在消失。
3.If this book is really about cybernetics, why is the word "cybernetics" so absent from it?
如果它真是探讨控制论的,为什么全书罕见“控制论”这个术语呢?
4.Speaking from personal experience, it takes more than positive thinking or psycho cybernetics.
就个人经验而言,这比积极的想法或是精神病控制理论还要重要。
5.This paper reviews the problem of dynamic updating of language knowledge from the point of view of Cybernetics.
本文从控制论的角度重新审视动态语言知识更新问题。
6.In the field of information theory, cybernetics and econometrics, linear systems with multiple right-hand sides attract much interest.
多右端线性方程组在信息论、控制论和计量经济学等领域有广泛的应用。
7.I don't believe a single formal textbook on cybernetics was ever written in English.
我认为没有一本正式的控制论教科书是用英文写成的。
8.Cybernetics was strangled by "putting the observer inside the box."
“把观察者放进盒子里”这句话扼杀了控制论。
9.The principles of cybernetics can be applied to both biological and artificial systems.
控制论的原则可以应用于生物系统和人工系统。
10.The study of cybernetics is essential for understanding how systems regulate themselves.
研究控制论对理解系统如何自我调节至关重要。
11.In robotics, cybernetics plays a vital role in creating intelligent machines.
在机器人技术中,控制论在创造智能机器方面发挥着重要作用。
12.Researchers in cybernetics are exploring how feedback loops influence behavior.
从事控制论研究的科学家正在探讨反馈循环如何影响行为。
13.Understanding cybernetics can improve communication within organizations.
理解控制论可以改善组织内部的沟通。
作文
In the modern world, the term cybernetics refers to the interdisciplinary study of systems, control, and communication in animals and machines. This fascinating field has its roots in the work of Norbert Wiener, who coined the term in the 1940s. Cybernetics is not just a branch of science; it is a conceptual framework that helps us understand how complex systems operate, adapt, and learn. It draws from various disciplines, including mathematics, engineering, biology, and even psychology, making it a truly holistic approach to understanding behavior and processes.One of the key aspects of cybernetics is feedback loops. Feedback is essential for the functioning of any system, whether it be a biological organism or a mechanical device. For instance, in biological systems, feedback mechanisms help regulate processes such as temperature, hormone levels, and even emotional responses. Similarly, in technology, feedback loops are used in control systems to ensure that machines operate within desired parameters. This principle of feedback is crucial in both natural and artificial systems and highlights the interconnectedness of various components within a system.Moreover, cybernetics emphasizes the importance of communication. In any system, effective communication is vital for coordination and control. In social systems, communication among individuals can lead to collective decision-making and problem-solving. In technological systems, communication between sensors and actuators enables machines to respond to changing conditions in real-time. By studying these communication patterns, cybernetics provides insights into how systems can be optimized for better performance.The implications of cybernetics extend beyond academia and technology. In our daily lives, we encounter numerous systems that can be analyzed through the lens of cybernetics. For example, consider the way organizations function. Businesses are complex systems where various departments must communicate and collaborate to achieve common goals. By applying principles of cybernetics, leaders can enhance organizational efficiency by improving feedback mechanisms and communication channels.Additionally, cybernetics plays a significant role in the development of artificial intelligence (AI) and machine learning. These technologies rely on algorithms that mimic the learning processes found in biological systems. Understanding the principles of cybernetics allows researchers to create more sophisticated AI systems that can adapt to new information and environments, much like living organisms do. As we continue to advance in technology, the relevance of cybernetics becomes increasingly apparent, guiding us in creating intelligent systems that can work alongside humans.In conclusion, cybernetics is a vital field of study that offers valuable insights into the functioning of complex systems, both natural and artificial. By exploring concepts such as feedback and communication, we can better understand how to optimize and improve these systems. Whether in biology, technology, or organizational management, the principles of cybernetics provide a framework for enhancing efficiency and adaptability. As we move forward in an increasingly interconnected world, the knowledge gained from cybernetics will undoubtedly continue to shape our understanding and interaction with the systems around us.
在现代世界中,术语控制论指的是对动物和机器中的系统、控制和通信的跨学科研究。这个迷人的领域源于诺伯特·维纳的工作,他在20世纪40年代首次提出了这个术语。控制论不仅仅是科学的一个分支;它是一种概念框架,帮助我们理解复杂系统如何运作、适应和学习。它借鉴了数学、工程、生物学甚至心理学等多个学科,使其成为理解行为和过程的真正整体方法。控制论的一个关键方面是反馈循环。反馈对任何系统的功能至关重要,无论是生物有机体还是机械设备。例如,在生物系统中,反馈机制帮助调节温度、荷尔蒙水平甚至情感反应等过程。同样,在技术中,反馈循环用于控制系统,以确保机器在期望参数内运行。这一反馈原则在自然和人工系统中都是至关重要的,突显了系统内各个组件之间的相互联系。此外,控制论强调了沟通的重要性。在任何系统中,有效的沟通对于协调和控制至关重要。在社会系统中,个体之间的沟通可以导致集体决策和问题解决。在技术系统中,传感器与执行器之间的通信使机器能够实时响应变化的条件。通过研究这些通信模式,控制论提供了有关如何优化系统以提高性能的见解。控制论的影响超越了学术界和技术。在我们的日常生活中,我们遇到了许多可以通过控制论的视角进行分析的系统。例如,考虑组织的运作。企业是复杂的系统,各部门必须沟通和协作以实现共同目标。通过应用控制论的原则,领导者可以通过改善反馈机制和沟通渠道来提高组织效率。此外,控制论在人工智能(AI)和机器学习的发展中也发挥着重要作用。这些技术依赖于模仿生物系统中学习过程的算法。理解控制论的原则使研究人员能够创建更复杂的AI系统,这些系统可以像生物有机体一样适应新信息和环境。随着我们在技术上不断进步,控制论的相关性变得越来越明显,引导我们创建能够与人类协同工作的智能系统。总之,控制论是一个重要的研究领域,为我们提供了对复杂系统(无论是自然的还是人工的)运作的宝贵见解。通过探索反馈和沟通等概念,我们可以更好地理解如何优化和改善这些系统。无论是在生物学、技术还是组织管理中,控制论的原则都为提高效率和适应性提供了框架。随着我们在一个日益互联的世界中前进,从控制论中获得的知识无疑将继续塑造我们对周围系统的理解和互动。