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Approximations of algorithmic and structural complexity validate cognitive-behavioral experimental results

Being able to objectively characterize the intrinsic complexity of behavioral patterns resulting from human or animal decisions is fundamental for deconvolving cognition and designing autonomous artificial intelligence systems. Yet complexity is difficult in practice, particularly when strings are s...

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Detalles Bibliográficos
Autores principales: Zenil, Hector, Marshall, James A. R., Tegnér, Jesper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904762/
https://www.ncbi.nlm.nih.gov/pubmed/36761393
http://dx.doi.org/10.3389/fncom.2022.956074