A ternary model uses three distinct states—typically true, false, and unknown—instead of the binary yes/no. It is widely applied in computing, logic, and database systems to handle incomplete or ambiguous data. Developers and data scientists benefit from improved error handling and more nuanced decision-making, especially in AI and machine learning contexts.
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