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...

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Detalles Bibliográficos
Autores principales:	Daniel G. Brown, Tiasa Mondol
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	algorithmic information theory computational creativity computational poetry text analysis Science Q Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/07a2adfd663b49b4aa1a0d32afc47e6c
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spelling	oai:doaj.org-article:07a2adfd663b49b4aa1a0d32afc47e6c2021-11-25T17:30:30ZOn the Problem of Small Objects10.3390/e231115241099-4300https://doaj.org/article/07a2adfd663b49b4aa1a0d32afc47e6c2021-11-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1524https://doaj.org/toc/1099-4300We 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.Daniel G. BrownTiasa MondolMDPI AGarticlealgorithmic information theorycomputational creativitycomputational poetrytext analysisScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1524, p 1524 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	algorithmic information theory computational creativity computational poetry text analysis Science Q Astrophysics QB460-466 Physics QC1-999
spellingShingle	algorithmic information theory computational creativity computational poetry text analysis Science Q Astrophysics QB460-466 Physics QC1-999 Daniel G. Brown Tiasa Mondol On the Problem of Small Objects
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	article
author	Daniel G. Brown Tiasa Mondol
author_facet	Daniel G. Brown Tiasa Mondol
author_sort	Daniel G. Brown
title	On the Problem of Small Objects
title_short	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_sort	on the problem of small objects
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/07a2adfd663b49b4aa1a0d32afc47e6c
work_keys_str_mv	AT danielgbrown ontheproblemofsmallobjects AT tiasamondol ontheproblemofsmallobjects
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On the Problem of Small Objects

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