论文标题
人工智能中的机器学习：一种共同的理解
Machine Learning in Artificial Intelligence: Towards a Common Understanding
论文作者
论文摘要
在过去的十年中，“机器学习”和“人工智能”的应用变得流行。这两个术语经常用于科学和媒体，有时会互换，有时具有不同的含义。在这项工作中，我们旨在阐明这些术语之间的关系，尤其是指定机器学习对人工智能的贡献。我们回顾相关文献，并提出一个概念框架，该框架阐明了机器学习构建（人工）智能代理的作用。因此，我们试图提供更加术语的清晰度和（跨学科）讨论和未来研究的起点。
The application of "machine learning" and "artificial intelligence" has become popular within the last decade. Both terms are frequently used in science and media, sometimes interchangeably, sometimes with different meanings. In this work, we aim to clarify the relationship between these terms and, in particular, to specify the contribution of machine learning to artificial intelligence. We review relevant literature and present a conceptual framework which clarifies the role of machine learning to build (artificial) intelligent agents. Hence, we seek to provide more terminological clarity and a starting point for (interdisciplinary) discussions and future research.
