Computational theories should be made with natural language instead of meaningless code.


Journal

The Behavioral and brain sciences
ISSN: 1469-1825
Titre abrégé: Behav Brain Sci
Pays: England
ID NLM: 7808666

Informations de publication

Date de publication:
10 10 2023
Historique:
medline: 11 10 2023
pubmed: 10 10 2023
entrez: 9 10 2023
Statut: epublish

Résumé

The target article claims that we should speak in code to understand property, because natural language is too ambiguous. Yet the best computer programmers tell us the opposite: Arbitrary code is too ambiguous, so we should use natural language for variables, functions, and classes. I discuss how meaningless code makes Boyer's theory too enigmatic to properly debate.

Identifiants

pubmed: 37813403
doi: 10.1017/S0140525X23001231
pii: S0140525X23001231
doi:

Types de publication

Journal Article Comment

Langues

eng

Sous-ensembles de citation

IM

Pagination

e332

Commentaires et corrections

Type : CommentOn
Type : CommentIn

Auteurs

Peter DeScioli (P)

Department of Political Science, Stony Brook University, Stony Brook, NY, USA pdescioli@gmail.com; pdescioli.com.

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Classifications MeSH