Many-valued Temporal Weighted Knowledge Bases with Typicality for Explainability

Mario Alviano, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, we develop a many-valued semantics for the description logic LTLALC, a temporal extension of description logic ALC, based on Linear-time Temporal Logic (LTL). We add a typicality operator to represent defeasible properties, and discuss the use of the (many-valued) temporal conditional logic and of weighted KBs for explaining the dynamic behaviour of a network.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume3733
Publication statusPublished - 2024
Event39th Italian Conference on Computational Logic, CILC 2024 - Rome, Italy
Duration: 26 Jun 202428 Jun 2024

Keywords

  • Explainability
  • Many-valued Description Logics
  • Preferential Logics
  • Temporal Logics

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