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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2024-06-06T17:10:37Z
dc.date.available2024-06-06T17:10:37Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/20.500.13067/3216
dc.description.abstractNowadays, there is a solid consensus about the rapid progress of artificial intelligence and its potential usage in the different functions of society. This paper presents an example about contribution in theoretical physics done by human and computer. In concrete, attention is paid on the derivation of reduced Virasoro’s algebra. The derivation demands well- established steps that require expertise and a deeply knowledge of advanced mathematics. Thus, this paper exposes a competition between computer using machine learning (manifested at the criteria of Tom Mitchell) and humans, about the generation of reduced Virasoro’s algebra. In essence, it is explored the case where computer can provide smart procedures to generate algebra. It is seen that computers might be limited to manifest originalities as humans commonly do.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_PE
dc.subjectCognitive machine learninges_PE
dc.subjectVirasoro algebraes_PE
dc.subjectMitchell criteriaes_PE
dc.titleHuman Versus Computer: Who Can Make Valuable Progress in Theoretical Physics?es_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journal2023 Asia Conference on Cognitive Engineering and Intelligent Interaction (CEII)es_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.relation.urlhttps://doi.org/10.1109/CEII60565.2023.00023es_PE


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