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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2024-09-18T22:29:33Z
dc.date.available2024-09-18T22:29:33Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/20.500.13067/3376
dc.description.abstractNowadays, media and scientific literature have shown capabilities of Artificial Intelligence (AI) to carry out autonomous activities with the same efficiency as a human being are presented. It is clear that AI can support humans in basic scientific research. Thus, one expects that computers can carry out activities ranging between the simplest and the most complex ones. Thus, it is interesting to know if a computer can conduct scientific and technological research, but in an independent manner. As a computer does a typical job, one can wonder about the concrete capabilities of AI to do research independently by using Machine Learning (ML) algorithms and mathematical schemes. Applying Mitchell's criteria in conjunction with well-known mathematical methodologies, a pseudo-code was built and discussed as to explore concrete capabilities of AI to do original research.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.sourceAUTONOMAes_PE
dc.subjectArtificial intelligencees_PE
dc.subjectMachine learninges_PE
dc.subjectMitchell criteriaes_PE
dc.titleCan Artificial Intelligence do Autonomous Research?: An Example of Using the Mitchell Criteriaes_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journal2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB)es_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.relation.urlhttps://doi.org/10.1109/ICEIB61477.2024.10602726es_PE


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