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Transcending the Forbidden through Executable Ternary Logic: A Formal Experimental Study

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Formal experimental study analyzes forbidden expressions in binary logic, suggesting ternary models improve AI decision-making.

The proposed ternary logic system allows for previously forbidden mathematical expressions to be interpreted as valid states, enhancing computational possibilities.
Key findings demonstrate how expressions like division by zero can be mapped to explicit logical states, thus overcoming limitations of binary logic.
This formal experimental analysis employs Python and HTML to execute demonstrations that process undefined operations logically, emphasizing practical usability.
The findings point to a significant advancement in error-resilient computation, opening avenues for more robust AI decision-making frameworks.

Fellouri et al. (2025) studied this question.

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