artificial value的意思|示意
人为值
artificial value的用法详解
Artificial value, also known as \"artificial worth\" or \"synthetic value\" is a concept used in economics that describes when a good is both produced and consumed under conditions where it is given value beyond the normal value one would expect.
In economics, artificial values are created when a good or service is produced for a purpose other than what is normally expected. For example, advertisement campaigns can increase demand for a product even when the product itself has not changed in any way. This artificial inflation in demand allows the company to increase the price of the product and receive greater profits.
In addition to being created through advertising campaigns, artificial value can also be created through government intervention. Government-backed subsidies, tax credits, and other incentives can make goods and services artificially more valuable than their natural counterparts.
Artificial value can also be created through the strategic use of marketing and branding. Companies are able to create an artificial sense of exclusivity and value around certain products and services that can increase the amount of money consumers are willing to pay.
Artificial value can be a powerful tool in economic activity and decision-making. When used correctly, it can open up new markets, create economic opportunities, and drive innovation. However, it can also be used in exploitative ways that hurt consumers and reduce market efficiency. It is important to understand the way artificial value is created and how it may impact economic outcomes.
artificial value相关短语
1、 artificial social value 虚假社会价值
artificial value相关例句
IBM's Banavar points out the value of artificial intelligence, including search engines and the autopilot function on planes.
IBM的巴维亚指出了人工智能的价值,包括搜索引擎和飞机自动驾驶功能。
For instance, Yahoo holds some reasonably value intellectual property, including a patent on instant search and search-based artificial intelligence.
比如,雅虎拥有的一些相当值钱的知识产权,包括即时搜索和基于搜索的人工智能的专利。
The application of multi-layer feed-forward artificial neural network in fault equipment diagnosis includes feature value setting of equipment operation condition and fault judgment.
多层前馈人工神经网络在装备故障诊断中的应用含设备运行状态特征值设定和故障判定。