יום שלישי, 15 בספטמבר 2026 LIVE
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כתבה arXiv cs.AI ·

הרחבת SMT עם למידת פסוקים לא מוגדרים

Extending SMT Solving with Non-Ground Clause Learning
פותחים את SMT עם למידת פסוקים לא מוגדרים, מאפשרים הוכחות קצרות יותר. החידוש משלב תהליכונים וניתוח סכסוכים לא מוגדרים.
תקציר מקורי באנגליתarXiv:2609.11509v1 Announce Type: new Abstract: Quantifier instantiation is currently the main approach to non-ground SMT solving: solvers generate ground instances and solve the resulting ground SMT problems with CDCL(T)-style reasoning. When a conflict is found, conflict analysis learns only a ground clause, even though the conflict comes from instances of non-ground clauses. Yet non-ground reasoning can give exponentially shorter proofs than purely ground reasoning. We propose a calculus that consists of ground instantiations, CDCL(T)-style rules, and non-ground conflict analysis. The solver reasons on ground instances, but the resolution steps of conflict analysis are performed on their original non-ground clauses. This produces learned clauses that are typically more general than the
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