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Message-based semantica for sat problems

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This paper modifies MSSG-logic to represent boolean satisfiability problems (SAT), suggesting implications for philosophy and computer science.

Modifying MSSG-logic allows for the representation of boolean satisfiability problems, enhancing logical analysis in computer science.
The framework incorporates unique symbol sets and algebras, improving the interpretation of complex logical formulas.
Originally developed for philosophy of language, MSSG-logic addresses intention in speech acts, linking linguistics and logic.
The implications of this adaptation extend to both computational logic and analytical philosophy, fostering interdisciplinary connections.

Iaroslav Petik (2024) studied this question.

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This paper modifies MSSG-logic to represent boolean satisfiability problems (SAT), suggesting implications for philosophy and computer science.