mlsanityData to 7 Oct 2026

Weighted Conditional EL{^}bot Knowledge Bases with Integer Weights: an ASP Approach

arXiv 2109.08286 ↗First posted 17 Sep 2021cs.AI cs.LOcited by 2

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Abstract (arXiv)

Weighted knowledge bases for description logics with typicality have been recently considered under a "concept-wise" multipreference semantics (in both the two-valued and fuzzy case), as the basis of a logical semantics of Multilayer Perceptrons. In this paper we consider weighted conditional EL^bot knowledge bases in the two-valued case, and exploit ASP and asprin for encoding concept-wise multipreference entailment for weighted KBs with integer weights.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 6 of its 31 references that are in the map. First posted on arXiv 17 Sep 2021.

Builds on

6 of 31 references.

References · 6

  1. 2018A Survey Of Methods For Explaining Black Box Modelscited by 970
  2. 2020An ASP approach for reasoning in a concept-aware multipreferential lightweight DLcited by 12
  3. 2020Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network modelcited by 11
  4. 2018A Polynomial Time Subsumption Algorithm for Nominal Safe ELO_bot under Rational Closurecited by 8
  5. 2021On the KLM properties of a fuzzy DL with Typicalitycited by 6
  6. 2018Defeasible Reasoning in SROEL: from Rational Entailment to Rational Closurecited by 2

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Citing papers per year: 2022: 1; 2023: 1.

2 papers.

  1. 2022An ASP approach for reasoning on neural networks under a finitely many-valued semantics for weighted conditional knowledge basescited by 4
  2. 2023A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicalitycited by 1