Author dc.contributor.author | Kiss, Attila | |
Author dc.contributor.author | Mészáros, Balázs | |
Availability Date dc.date.accessioned | 2023-07-11T13:48:03Z | |
Availability Date dc.date.available | 2023-07-11T13:48:03Z | |
Release dc.date.issued | 2021 | |
uri dc.identifier.uri | http://hdl.handle.net/10831/89039 | |
Language dc.language.iso | angol | hu_HU |
Title dc.title | How AI Can Be Applied in Creative Fields | hu_HU |
Type dc.type | folyóiratcikk | hu_HU |
Version dc.description.version | megjelent változat | hu_HU |
Language dc.language.rfc3066 | eng | |
Rights dc.rights.holder | ELTE Informatikai Kar | hu_HU |
Abstract in English dc.description.abstracteng | In recent years experiments regarding machine creativity got more common, but it is a question existing since centuries. This paper describes how machine creativity differs from human creativity in multiple fields, including music, fine arts, and literature. | hu_HU |
Doi ID dc.identifier.doi | 10.36427/CEJNTREP.3.3.1658 | |
Issue Number dc.identifier.issue | 3 | hu_HU |
abbreviated journal dc.identifier.jabbrev | CEJNTREP | hu_HU |
Journal dc.identifier.jtitle | Central-European Journal of New Technologies in Research, Education and Practice | hu_HU |
Last Page dc.identifier.lpage | 14 | hu_HU |
First Page dc.identifier.spage | 1 | hu_HU |
Volume Number dc.identifier.volume | 3 | hu_HU |
access dc.rights.access | hozzáférhető | hu_HU |
Keyword English dc.subject.en | Machine creativity | hu_HU |
Keyword English dc.subject.en | Artificial intelligence | hu_HU |
Keyword English dc.subject.en | Neural Network | hu_HU |
Class dc.type.genre | publikáció/alkotás | hu_HU |
Type dc.type.resrep | tudományos | hu_HU |
Author dc.contributor.inst | ELTE Informatikai Kar Informatikatudományi Intézet | hu_HU |
Author dc.contributor.inst | ELTE szervezeti egységen kívüli | hu_HU |
Type dc.type.type | folyóiratcikk | hu_HU |
Release Date dc.description.issuedate | 2021 | hu_HU |