A tableaux-based theorem prover for a decidable subset of default logic

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Abstract

We present a new, efficient and clear method for computing extensions and deriving formulas of a normal default theory which offers a new insight into the nature of default reasoning and seems to be equally successfully applicable to open and non-normal default theories. It is based on the semantic tableaux method (Smullyan 1968) and works for default theories with a finite set of defaults which are formulated over a decidable subset of first-order logic. We prove that all extensions of a normal default theory can be produced by constructing the semantic tableau of one formula built from the general laws and the default consequences.

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Schwind, C. B. (1990). A tableaux-based theorem prover for a decidable subset of default logic. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 449 LNAI, pp. 528–542). Springer Verlag. https://doi.org/10.1007/3-540-52885-7_112

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