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Machine Learning in Artificial Intelligence: Towards a Common Understanding

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Title:Machine Learning in Artificial Intelligence: Towards a Common Understanding
Authors:Kühl, Niklas
Goutier, Marc
Hirt, Robin
Satzger, Gerhard
Keywords:AI, Machine Learning, IoT, and Analytics: Exploring the Implications for Knowledge Management and Innovation
Knowledge Innovation and Entrepreneurial Systems
Artificial Intelligence, Machine Learning, Statistical Learning, Intelligent Agents
Date Issued:08 Jan 2019
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 (inter¬disciplinary) discussions and future research.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/59960
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.630
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: AI, Machine Learning, IoT, and Analytics: Exploring the Implications for Knowledge Management and Innovation


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