Many-valued Temporal Weighted Knowledge Bases with Typicality for Explainability

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

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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.

Lingua originaleInglese
RivistaCEUR Workshop Proceedings
Volume3733
Stato di pubblicazionePubblicato - 2024
Evento39th Italian Conference on Computational Logic, CILC 2024 - Rome, Italy
Durata: 26 giu 202428 giu 2024

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