Machine Learning in Artificial Intelligence: Towards a Common Understanding
Machine Learning
2020-04-10 v1 Artificial Intelligence
Abstract
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.
Cite
@article{arxiv.2004.04686,
title = {Machine Learning in Artificial Intelligence: Towards a Common Understanding},
author = {Niklas Kühl and Marc Goutier and Robin Hirt and Gerhard Satzger},
journal= {arXiv preprint arXiv:2004.04686},
year = {2020}
}
Comments
Hawaii International Conference on System Sciences (HICSS-52) 2019