A Note on Representational Understanding

Autor: Antal Jakovác, András Telcs
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Entropy, Vol 24, Iss 9, p 1313 (2022)
Druh dokumentu: article
ISSN: 1099-4300
DOI: 10.3390/e24091313
Popis: In this paper, we explore a new approach in which understanding is interpreted as a set representation. We prove that understanding/representation, finding the appropriate coordination of data, is equivalent to finding the minimum of the representational entropy. For the control of the search for the correct representation, we propose a loss function as a combination of the representational entropy, type one and type two errors. Computational complexity estimates are presented for the process of understanding and using the representation found.
Databáze: Directory of Open Access Journals
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