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Defeasible Reasoning via Datalog$^\neg$

Published 21 Jun 2021 in cs.LO and cs.AI | (2106.10946v1)

Abstract: We address the problem of compiling defeasible theories to Datalog$\neg$ programs. We prove the correctness of this compilation, for the defeasible logic $DL(\partial_{||})$, but the techniques we use apply to many other defeasible logics. Structural properties of $DL(\partial_{||})$ are identified that support efficient implementation and/or approximation of the conclusions of defeasible theories in the logic, compared with other defeasible logics. We also use previously well-studied structural properties of logic programs to adapt to incomplete Datalog$\neg$ implementations.

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