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

Behavioral and Brain Sciences 46:e332 (2023)
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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.

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10.1017/s0140525x23001231

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