Computational theories should be made with natural language instead of meaningless code
- PMID: 37813403
- DOI: 10.1017/S0140525X23001231
Computational theories should be made with natural language instead of meaningless code
Abstract
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.
Comment in
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Ownership psychology, its antecedents and consequences.Behav Brain Sci. 2023 Oct 10;46:e355. doi: 10.1017/S0140525X23002406. Behav Brain Sci. 2023. PMID: 37813457
Comment on
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Ownership psychology as a cognitive adaptation: A minimalist model.Behav Brain Sci. 2022 Oct 18;46:e323. doi: 10.1017/S0140525X22002527. Behav Brain Sci. 2022. PMID: 36254791
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