A4 Article in conference proceedings
Artificial General Intelligence vs. Industry 4.0 : Do They Need Each Other? (2022)

Kumpulainen, S., & Terziyan, V. (2022). Artificial General Intelligence vs. Industry 4.0 : Do They Need Each Other?. In F. Longo, M. Affenzeller, & A. Padovano (Eds.), 3rd International Conference on Industry 4.0 and Smart Manufacturing (200, pp. 140-150). Elsevier. Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.01.213

JYU authors or editors

Publication details

All authors or editors: Kumpulainen, Samu; Terziyan, Vagan

Parent publication: 3rd International Conference on Industry 4.0 and Smart Manufacturing

Parent publication editors: Longo, Francesco; Affenzeller, Michael; Padovano, Antonio

Conference:

Place and date of conference: Linz, Austria, 17.-19.11.2021

Journal or series: Procedia Computer Science

ISSN: 1877-0509

eISSN: 1877-0509

Publication year: 2022

Volume: 200

Pages range: 140-150

Number of pages in the book: 1918

Publisher: Elsevier

Publication country: Netherlands

Publication language: English

DOI: https://doi.org/10.1016/j.procs.2022.01.213

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/80271

Abstract

Artificial Intelligence (AI) is known to be a driving force behind the Industry 4.0. Nowadays the current hype on development and industrial adoption of the AI systems is mostly associated with the deep learning, i.e., with the abilities of the AI to perform various specific cognitive activities better than humans do. However, what about the Artificial General Intelligence (AGI), associated with the generic ability of a machine to perform consciously any task that a human can? Do we have many samples of the AGI research adopted by Industry 4.0 and used for smart manufacturing? In this paper, we report the systematic mapping study regarding the AGI-related papers (published during the five-year period) to find out whether AGI is giving up its positions within AI as an attractive tool to address the industry needs. We show what the major concerns of the AGI academic community are nowadays and how the AGI findings have been already or could be potentially applied within the Industry 4.0. We have discovered that the gap between the AGI studies and the industrial needs is still high and even has some indications to grow. However, some AGI-related findings have potential to make real value in smart manufacturing.

Keywords: artificial intelligence; intelligent systems; industry

Free keywords: Artificial general intelligence; Industry 4.0; systematic mapping study; Google distance

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2022

JUFO rating: 1