Artificial Intelligence

Viktor Dörfler

doi:10.4135/9781071872383.n15

Artificial Intelligence

Viktor Dörfler

Management Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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Abstract

Artificial intelligence (AI) is loosely defined as machines that can accomplish tasks that humans would accomplish through thinking. This definition does not say anything about AI achieving this performance in ways similar to how we humans do it, however. The term artificial intelligence is used with two meanings. On the one hand, it refers to (artificially) intelligent machines and the ways of making them; in this sense, AI is primarily computer science and engineering. On the other hand, AI is also a transdisciplinary field of studying these machines. AI gurus such as Herbert Simon often emphasized that studying AI involves studying the human mind, and if we get it right, we will understand both AI and the human mind better in the end. Therefore, the field of AI involves various branches of hard sciences and engineering, but beyond these also biology, psychology, and philosophy.

Original language	English
Title of host publication	The SAGE Encyclopedia of Theory in Science, Technology, Engineering, and Mathematics
Editors	James Mattingly
Place of Publication	London, UK
Pages	37-41
Number of pages	5
ISBN (Electronic)	9781071872383
DOIs	https://doi.org/10.4135/9781071872383.n15
Publication status	Published - 14 Jan 2023

Keywords

artificial intelligence
machine learning
artificial neural networks
expert systems
knowledge-based systems

Access to Document

10.4135/9781071872383.n15

Dörfler-ETSTEM-2022-Artificial-IntelligenceAccepted author manuscript, 341 KB

1 Chapter (peer-reviewed)

Intuition
Bas, A. & Dörfler, V., 14 Jan 2023, The SAGE Encyclopedia of Theory in Science, Technology, Engineering, and Mathematics. Mattingly, J. (ed.). London, UK, p. 413-417 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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Artificial Intelligence

Abstract

Keywords

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