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This interplay between data structures and rates is made possible in the language static semantics by the introduction of dependent types.
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Among the issues addressed are solving argumentation frameworks, software consistency, modeling languages, static design routing, dynamic constraint satisfaction, and constraint-based modeling.
In order to clarify the expressions of the language; the static semantic controls are realized in the form of constraints.
Two of them can be summarized as follows: in current AIT, computation time is ignored, because only program size matters; and the theory/program's language is static, implying that new concepts can never emerge and the theory can never evolve.
Also, language isn't static; the rules change.
The oft-expressed view of language as "a static system of symbols" is here seen as an element of a larger system that embraces the mutuality of symbols and dynamics.
Bakhtin further developed this theory of polyphony, or "dialogics," in Voprosy literatury i estetiki (1975; The Dialogic Imagination), in which he postulated that, rather than being static, language evolves dynamically and is affected by and affects the culture that produces and uses it.
Second, Zlango is not a static language.
Therefore, DCL is an architecture conformance language based on static analysis.
Other limitations observed in the experiment are related to the programming language and the static analysis tools used.
(You see some Java programmers take this attitude toward manual-memory languages like C). I would probably use Haskell (a high-level language with strong static typing) given a clean slate; but I've exposed myself to Clojure, C, and even Python (data science libraries) because they cover important topics from computer science.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com