dc.creatorNieto-Chaupis, Huber
dc.date.accessioned2024-06-06T17:10:37Z
dc.date.accessioned2024-08-06T21:07:27Z
dc.date.available2024-06-06T17:10:37Z
dc.date.available2024-08-06T21:07:27Z
dc.date.created2024-06-06T17:10:37Z
dc.date.issued2023
dc.identifierhttps://hdl.handle.net/20.500.13067/3216
dc.identifier2023 Asia Conference on Cognitive Engineering and Intelligent Interaction (CEII)
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9539641
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.
dc.languageeng
dc.publisherIEEE
dc.relationhttps://doi.org/10.1109/CEII60565.2023.00023
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectCognitive machine learning
dc.subjectVirasoro algebra
dc.subjectMitchell criteria
dc.titleHuman Versus Computer: Who Can Make Valuable Progress in Theoretical Physics?
dc.typeinfo:eu-repo/semantics/article


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