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dc.contributor.authorKumpulainen, Samu
dc.contributor.authorTerziyan, Vagan
dc.contributor.editorLongo, Francesco
dc.contributor.editorAffenzeller, Michael
dc.contributor.editorPadovano, Antonio
dc.date.accessioned2022-03-21T11:07:18Z
dc.date.available2022-03-21T11:07:18Z
dc.date.issued2022
dc.identifier.citationKumpulainen, S., & Terziyan, V. (2022). Artificial General Intelligence vs. Industry 4.0 : Do They Need Each Other?. In F. Longo, M. Affenzeller, & A. Padovano (Eds.), <i>3rd International Conference on Industry 4.0 and Smart Manufacturing</i> (pp. 140-150). Elsevier. Procedia Computer Science, 200. <a href="https://doi.org/10.1016/j.procs.2022.01.213" target="_blank">https://doi.org/10.1016/j.procs.2022.01.213</a>
dc.identifier.otherCONVID_104552861
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/80271
dc.description.abstractArtificial 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.en
dc.format.extent1918
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartof3rd International Conference on Industry 4.0 and Smart Manufacturing
dc.relation.ispartofseriesProcedia Computer Science
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherArtificial general intelligence
dc.subject.otherIndustry 4.0
dc.subject.othersystematic mapping study
dc.subject.otherGoogle distance
dc.titleArtificial General Intelligence vs. Industry 4.0 : Do They Need Each Other?
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202203211969
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineCollective Intelligencefi
dc.contributor.oppiaineOhjelmisto- ja tietoliikennetekniikkafi
dc.contributor.oppiaineCollective Intelligenceen
dc.contributor.oppiaineSoftware and Communications Engineeringen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.description.reviewstatuspeerReviewed
dc.format.pagerange140-150
dc.relation.issn1877-0509
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 The Authors. Published by Elsevier B.V.
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceInternational Conference on Industry 4.0 and Smart Manufacturing
dc.subject.ysotekoäly
dc.subject.ysoteollisuus
dc.subject.ysoälytekniikka
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2616
jyx.subject.urihttp://www.yso.fi/onto/yso/p998
jyx.subject.urihttp://www.yso.fi/onto/yso/p27260
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.procs.2022.01.213


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