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Defeasible Reasoning via Datalog¬

Published online by Cambridge University Press:  02 November 2021

MICHAEL J. MAHER Open the ORCID record for MICHAEL J. MAHER [Opens in a new window]
MICHAEL J. MAHER*
Affiliation:
Reasoning Research Institute Canberra, Australia (e-mail: michael.maher@reasoning.org.au)
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Abstract

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We address the problem of compiling defeasible theories to Datalog¬ programs. We prove the correctness of this compilation, for the defeasible logic DL(∂||), but the techniques we use apply to many other defeasible logics. Structural properties of DL(∂||) 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¬ implementations.

Keywords

defeasible logicprogram transformationwell-founded semanticsmeta-programming
Type
Original Article
Information
Theory and Practice of Logic Programming , Volume 23 , Issue 5 , September 2023 , pp. 986 - 1028
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Copyright
© The Author(s), 2021. Published by Cambridge University Press

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