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Computational Creativity and Aesthetics with Algorithmic Information Theory †
We build an analysis based on the Algorithmic Information Theory of computational creativity and extend it to revisit computational aesthetics, thereby, improving on the existing efforts of its formulation. We discuss Kolmogorov complexity, models and randomness deficiency (which is a measure of how...
Autores principales: | Mondol, Tiasa, Brown, Daniel G. |
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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/PMC8700213/ https://www.ncbi.nlm.nih.gov/pubmed/34945960 http://dx.doi.org/10.3390/e23121654 |
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