calculability

简明释义

英[kælkjʊləˈbɪlɪti]美[kælkjʊləˈbɪlɪti]

n. 可计算性

英英释义

单词用法

同义词

反义词

例句

1.Finally, based on the reference theories and the language "s calculability, we discussed the realization of the semantic net language and how computer and network comprehend the network language."

文章最后，从指称理论和语言的可计算性，论述了语义网络的实现和计算机、网络对网络语言的理解。

2.Finally, based on the reference theories and the language "s calculability, we discussed the realization of the semantic net language and how computer and network comprehend the network language."

文章最后，从指称理论和语言的可计算性，论述了语义网络的实现和计算机、网络对网络语言的理解。

3.At the same time, in order to insure the calculability of the objective function in the searching process of the particle swarm, neural network is used to model the voltage boosting circuit.

同时为了保证粒子群在搜索过程中目标函数的可计算，采用神经网络对升压电路进行建模，通过实验数据对神经网络进行训练并测试。

4.The implementation of forest green GDP calculability has vital significance to the forest macroscopic management and policy formulation of our country.

实行森林绿色GDP核算对我国森林的宏观管理和政策的制定具有重要意义。

5.Risks of assembly occupancies have source complicacy, intrinsical dualism, effect ponderance, limited calculability and spatiotemporal characteristics.

人员密集场所的风险具有来源的复杂性、本质的双重性、后果的严重性、有限可计算性和时空特性。

6.This scheme is base on difficulty of CDHP and calculability of DDHP, and it is provided with the main properties of group signature.

该方案基于CDHP的难解性和DDHP的可计算性，它满足群签名的基本特性。

7.The financial analyst emphasized the importance of calculability in investment decisions.

金融分析师强调了在投资决策中可计算性的重要性。

8.In engineering, the calculability of stress factors is crucial for safety.

在工程中，压力因素的可计算性对安全至关重要。

9.The study focused on the calculability of risks associated with climate change.

这项研究集中于气候变化相关风险的可计算性。

10.When designing algorithms, the calculability of outcomes must be considered.

在设计算法时，必须考虑结果的可计算性。

11.The calculability of benefits versus costs is a key factor in project management.

利益与成本的可计算性是项目管理中的关键因素。

作文

In today's world, where data drives decisions and technology shapes our lives, the concept of calculability (可计算性) has become increasingly significant. It refers to the ability to quantify and measure various aspects of life, from economic performance to personal relationships. Understanding calculability is essential for navigating the complexities of modern society. Firstly, let us consider the role of calculability in economics. Economists rely on quantifiable data to analyze market trends, assess risks, and make predictions. For instance, GDP (Gross Domestic Product) is a key indicator of a country's economic health, and its calculation involves numerous measurable factors such as consumer spending, investment, and government expenditures. The calculability of these elements allows policymakers to make informed decisions that can lead to economic growth or stability. Moreover, in the realm of business, calculability plays a crucial role in strategy development. Companies use various metrics to evaluate their performance, including sales figures, profit margins, and customer satisfaction ratings. By analyzing these quantifiable data points, businesses can identify areas for improvement and make strategic adjustments. This reliance on calculability not only enhances operational efficiency but also fosters a culture of accountability and transparency. However, the emphasis on calculability is not without its drawbacks. In many cases, the focus on what can be measured leads to the neglect of qualitative factors that are equally important. For example, while financial metrics can indicate a company's success, they may not capture employee morale or customer loyalty, which are vital for long-term sustainability. Thus, an over-reliance on calculability can result in a skewed understanding of reality, where numerical data overshadows human experiences and values. Additionally, the increasing trend towards quantification raises ethical concerns. In fields such as education and healthcare, the push for calculability can lead to a reductionist approach, where complex human interactions are simplified into mere numbers. Standardized testing in schools, for instance, provides a quantifiable measure of student performance but often fails to account for individual learning styles and needs. Similarly, in healthcare, focusing solely on measurable outcomes can overlook the holistic well-being of patients. Furthermore, the digital age has amplified the importance of calculability. With the advent of big data and analytics, organizations can now collect vast amounts of information about individuals and populations. While this data can be invaluable for understanding trends and behaviors, it also raises privacy concerns. The ability to quantify personal information can lead to intrusive practices, where individuals are reduced to mere data points rather than being seen as whole persons. In conclusion, while calculability (可计算性) offers valuable insights and tools for decision-making in various fields, it is crucial to approach it with a balanced perspective. Recognizing the limitations of quantification and the importance of qualitative factors can lead to more comprehensive and humane solutions. As we navigate an increasingly data-driven world, embracing both calculability and the richness of human experience will ultimately lead to better outcomes for individuals and society as a whole.

在当今这个数据驱动决策和技术塑造我们生活的世界中，可计算性的概念变得越来越重要。它指的是量化和测量生活各个方面的能力，从经济表现到人际关系。理解可计算性对于驾驭现代社会的复杂性至关重要。 首先，让我们考虑可计算性在经济学中的作用。经济学家依赖可量化的数据来分析市场趋势、评估风险并做出预测。例如，GDP（国内生产总值）是一个国家经济健康的关键指标，其计算涉及多个可测量的因素，如消费者支出、投资和政府支出。这些元素的可计算性使政策制定者能够做出明智的决策，从而推动经济增长或稳定。 此外，在商业领域，可计算性在战略发展中起着至关重要的作用。公司使用各种指标来评估其绩效，包括销售数字、利润率和客户满意度评分。通过分析这些可量化的数据点，企业可以识别改进领域并进行战略调整。这种对可计算性的依赖不仅提高了运营效率，还促进了问责制和透明度文化。 然而，对可计算性的重视并非没有缺陷。在许多情况下，专注于可测量的事物导致忽视同样重要的定性因素。例如，尽管财务指标可以表明公司的成功，但它们可能无法捕捉员工士气或客户忠诚度，这对长期可持续性至关重要。因此，过度依赖可计算性可能导致对现实的偏见理解，其中数字数据掩盖了人类经验和价值。 此外，日益增强的量化趋势引发了伦理问题。在教育和医疗等领域，追求可计算性可能导致简化的方法，将复杂的人际互动简化为简单的数字。例如，学校中的标准化测试提供了学生表现的可量化衡量标准，但往往未能考虑个体学习风格和需求。同样，在医疗保健中，仅关注可测量的结果可能会忽视患者的整体健康。 此外，数字时代加大了可计算性的重要性。随着大数据和分析的出现，组织现在可以收集大量关于个人和人群的信息。虽然这些数据对于理解趋势和行为非常有价值，但它也引发了隐私问题。量化个人信息的能力可能导致侵入性做法，个人被简化为简单的数据点，而不是被视为完整的人。 总之，虽然可计算性（可计算性）为各个领域的决策提供了宝贵的见解和工具，但以平衡的视角看待它至关重要。认识到量化的局限性和定性因素的重要性，可以导致更全面和人道的解决方案。当我们在一个日益数据驱动的世界中航行时，拥抱可计算性和人类经验的丰富性，最终将为个人和整个社会带来更好的结果。