Reception of literature generated by artificial neural networks
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378068%3A_____%2F22%3A00557010" target="_blank" >RIV/68378068:_____/22:00557010 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sav.sk/journals/uploads/04061552WLS1_2022_husarova-piorecky.pdf" target="_blank" >https://www.sav.sk/journals/uploads/04061552WLS1_2022_husarova-piorecky.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.31577/WLS.2022.14.1.4" target="_blank" >10.31577/WLS.2022.14.1.4</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Reception of literature generated by artificial neural networks
Popis výsledku v původním jazyce
This article introduces the phenomenon of literature generated by artificial neural networks, with specific examples of texts created in the Czech and Slovak cultural environment. It follows the historical background connected with generative and combinatory poetics and later describes the principles of data processing used by neural networks work - it also presents the parameters of their machine learning. The focus lies on the reception of these artificial texts in the media and in literary studies, leading to the proposition of two reading types specialized for these works: “reading of artificiality” and “literary metareading”, while rehabilitating Mathauser’s term of “metahability”. The study concludes by suggesting “literary metareading of artificiality” as a term that would combine the aforementioned approaches into a new reception of neural network literature.
Název v anglickém jazyce
Reception of literature generated by artificial neural networks
Popis výsledku anglicky
This article introduces the phenomenon of literature generated by artificial neural networks, with specific examples of texts created in the Czech and Slovak cultural environment. It follows the historical background connected with generative and combinatory poetics and later describes the principles of data processing used by neural networks work - it also presents the parameters of their machine learning. The focus lies on the reception of these artificial texts in the media and in literary studies, leading to the proposition of two reading types specialized for these works: “reading of artificiality” and “literary metareading”, while rehabilitating Mathauser’s term of “metahability”. The study concludes by suggesting “literary metareading of artificiality” as a term that would combine the aforementioned approaches into a new reception of neural network literature.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
60205 - Literary theory
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
World Literature Studies
ISSN
1337-9275
e-ISSN
—
Svazek periodika
14
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
SK - Slovenská republika
Počet stran výsledku
17
Strana od-do
44-60
Kód UT WoS článku
000830904400005
EID výsledku v databázi Scopus
2-s2.0-85128554510