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- W4323715531 abstract "Weighted knowledge bases for description logics with typicality under a concept-wise multi-preferential semantics provide a logical interpretation of MultiLayer Perceptrons. In this context, Answer Set Programming (ASP) has been shown to be suitable for addressing defeasible reasoning in the finitely many-valued case, providing a $Pi^p_2$ upper bound on the complexity of the problem, nonetheless leaving unknown the exact complexity and only providing a proof-of-concept implementation. This paper fulfils the lack by providing a $P^{NP[log]}$-completeness result and new ASP encodings that deal with weighted knowledge bases with large search spaces." @default.
- W4323715531 created "2023-03-10" @default.
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- W4323715531 date "2023-03-08" @default.
- W4323715531 modified "2023-09-29" @default.
- W4323715531 title "Complexity and scalability of defeasible reasoning in many-valued weighted knowledge bases with typicality" @default.
- W4323715531 doi "https://doi.org/10.48550/arxiv.2303.04534" @default.
- W4323715531 hasPublicationYear "2023" @default.
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