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On the Problem of Small Objects
We discuss how to assess computationally the aesthetic value of “small” objects, namely those that have short digital descriptions. Such small objects still matter: they include headlines, poems, song lyrics, short musical scripts and other culturally crucial items. Yet, small objects are a confound...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620042/ https://www.ncbi.nlm.nih.gov/pubmed/34828222 http://dx.doi.org/10.3390/e23111524 |
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author | Brown, Daniel G. Mondol, Tiasa |
author_facet | Brown, Daniel G. Mondol, Tiasa |
author_sort | Brown, Daniel G. |
collection | PubMed |
description | We discuss how to assess computationally the aesthetic value of “small” objects, namely those that have short digital descriptions. Such small objects still matter: they include headlines, poems, song lyrics, short musical scripts and other culturally crucial items. Yet, small objects are a confounding case for our recent work adapting ideas from algorithmic information theory (AIT) to the domain of computational creativity, as they cannot be either logically deep or sophisticated following the traditional definitions of AIT. We show how restricting the class of models under analysis can make it the case that we can still separate high-quality small objects from ordinary ones, and discuss the strengths and limitations of our adaptation. |
format | Online Article Text |
id | pubmed-8620042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86200422021-11-27 On the Problem of Small Objects Brown, Daniel G. Mondol, Tiasa Entropy (Basel) Article We discuss how to assess computationally the aesthetic value of “small” objects, namely those that have short digital descriptions. Such small objects still matter: they include headlines, poems, song lyrics, short musical scripts and other culturally crucial items. Yet, small objects are a confounding case for our recent work adapting ideas from algorithmic information theory (AIT) to the domain of computational creativity, as they cannot be either logically deep or sophisticated following the traditional definitions of AIT. We show how restricting the class of models under analysis can make it the case that we can still separate high-quality small objects from ordinary ones, and discuss the strengths and limitations of our adaptation. MDPI 2021-11-16 /pmc/articles/PMC8620042/ /pubmed/34828222 http://dx.doi.org/10.3390/e23111524 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Brown, Daniel G. Mondol, Tiasa On the Problem of Small Objects |
title | On the Problem of Small Objects |
title_full | On the Problem of Small Objects |
title_fullStr | On the Problem of Small Objects |
title_full_unstemmed | On the Problem of Small Objects |
title_short | On the Problem of Small Objects |
title_sort | on the problem of small objects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620042/ https://www.ncbi.nlm.nih.gov/pubmed/34828222 http://dx.doi.org/10.3390/e23111524 |
work_keys_str_mv | AT browndanielg ontheproblemofsmallobjects AT mondoltiasa ontheproblemofsmallobjects |