cybernetician

简明释义

英[ˌsaɪ.bəˈnɛt.ɪ.ʃən]美[ˌsaɪ.bərˈnɛt.ɪ.ʃən]

控制论专家

英英释义

单词用法

同义词

反义词

例句

1.Another cybernetician, Gerald Weinberg, supplies a fine metaphor for requisite complexity in his book On the Design of Stable Systems.

另外一位控制论专家，杰拉尔德·温伯格，在他的著作《论稳定系统的设计》中给这个“必要的复杂性”提供了一个非常贴切的比喻。

2.Another cybernetician, Gerald Weinberg, supplies a fine metaphor for requisite complexity in his book On the Design of Stable Systems.

另外一位控制论专家，杰拉尔德·温伯格，在他的著作《论稳定系统的设计》中给这个“必要的复杂性”提供了一个非常贴切的比喻。

3.The principles laid out by the cybernetician are applicable in various fields, including economics and sociology.

这位控制论专家提出的原则适用于多个领域，包括经济学和社会学。

4.As a cybernetician, she focuses on the interactions between biological and artificial systems.

作为一名控制论专家，她专注于生物系统与人工系统之间的互动。

5.The conference featured a keynote speech by a renowned cybernetician discussing the future of autonomous systems.

会议上有一位著名的控制论专家发表了关于自主系统未来的主题演讲。

6.He collaborates with a team of cyberneticians to develop smarter robots.

他与一组控制论专家合作开发更智能的机器人。

7.The cybernetician is studying how feedback loops can improve machine learning algorithms.

这位控制论专家正在研究反馈回路如何改善机器学习算法。

作文

In the rapidly evolving world of technology and systems theory, the role of a cybernetician is becoming increasingly significant. A cybernetician is a professional who studies the principles of communication and control in living organisms and machines. This interdisciplinary field combines elements from various domains, including biology, engineering, computer science, and cognitive science, to understand how systems operate and interact. The term 'cybernetics' was first coined by Norbert Wiener in the 1940s, and it has since evolved into a crucial area of study that addresses complex systems and their behaviors.One of the most fascinating aspects of being a cybernetician is the ability to apply theoretical concepts to real-world problems. For instance, in the field of robotics, a cybernetician may design algorithms that enable machines to learn from their environments, adapt to changing conditions, and make decisions autonomously. This capability is not only useful in manufacturing but also in areas such as healthcare, where robots can assist in surgeries or provide care for the elderly.Moreover, cyberneticians play a vital role in understanding ecological systems. By modeling ecosystems as complex adaptive systems, they can analyze the interactions between different species and their environments. This research is essential for developing strategies for conservation and sustainability, especially in the face of climate change and habitat destruction. The insights gained from this work can inform policymakers and help create more effective environmental regulations.In addition to practical applications, the work of a cybernetician often involves philosophical inquiries into the nature of intelligence and consciousness. Questions about what it means to be intelligent or aware are central to both artificial intelligence and cognitive science. By exploring these topics, cyberneticians contribute to our understanding of not only machines but also human cognition. Their findings can lead to advancements in AI technologies, improving our ability to create systems that mimic human thought processes.Education and training for a cybernetician typically involve a strong foundation in mathematics, computer science, and systems theory. Many professionals in this field hold advanced degrees in interdisciplinary studies, allowing them to bridge gaps between various scientific domains. As technology continues to advance, the demand for skilled cyberneticians is likely to grow, particularly in industries focused on automation, data analysis, and systems optimization.In conclusion, the role of a cybernetician is multifaceted and crucial in today’s technology-driven society. With their expertise in systems theory and their ability to apply this knowledge to real-world challenges, cyberneticians are at the forefront of innovation in numerous fields. Whether it’s through designing intelligent machines, modeling ecological systems, or exploring the depths of consciousness, their contributions are invaluable. As we move forward into an increasingly complex world, the insights and skills of cyberneticians will undoubtedly shape our understanding and interaction with both natural and artificial systems.

在快速发展的技术和系统理论世界中，控制论学家的角色变得越来越重要。控制论学家是研究生物体和机器中通信与控制原理的专业人士。这个跨学科领域结合了生物学、工程学、计算机科学和认知科学等多个领域的元素，以理解系统如何运作和相互作用。“控制论”这个术语首次由诺伯特·维纳在20世纪40年代提出，自那时以来，它已经发展成为一个重要的研究领域，解决复杂系统及其行为。作为一名控制论学家，最令人着迷的方面之一是能够将理论概念应用于现实世界的问题。例如，在机器人领域，控制论学家可能设计算法，使机器能够从环境中学习，适应变化的条件，并自主做出决策。这种能力不仅在制造业中有用，而且在医疗保健等领域也同样重要，机器人可以协助手术或为老年人提供护理。此外，控制论学家在理解生态系统方面发挥着至关重要的作用。通过将生态系统建模为复杂自适应系统，他们可以分析不同物种及其环境之间的相互作用。这项研究对于制定保护和可持续发展的战略至关重要，尤其是在气候变化和栖息地破坏面前。从这项工作中获得的见解可以为政策制定者提供信息，帮助创建更有效的环境法规。除了实际应用之外，控制论学家的工作通常涉及对智能和意识本质的哲学探讨。关于什么是智能或意识的问题是人工智能和认知科学的核心。通过探索这些主题，控制论学家为我们对机器和人类认知的理解做出了贡献。他们的发现可以推动人工智能技术的发展，提高我们创造模拟人类思维过程的系统的能力。成为一名控制论学家的教育和培训通常需要在数学、计算机科学和系统理论方面打下坚实的基础。许多该领域的专业人士拥有跨学科研究的高级学位，使他们能够弥合各个科学领域之间的差距。随着技术的不断进步，对熟练的控制论学家的需求可能会增加，特别是在专注于自动化、数据分析和系统优化的行业。总之，控制论学家的角色在当今以技术驱动的社会中是多方面且至关重要的。凭借他们在系统理论方面的专业知识以及将这些知识应用于现实挑战的能力，控制论学家处于众多领域创新的前沿。无论是通过设计智能机器、建模生态系统，还是探索意识的深度，他们的贡献都是无价的。随着我们向日益复杂的世界迈进，控制论学家的见解和技能无疑将塑造我们对自然和人工系统的理解和互动。