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.

Many-valued Temporal Description Logics with Typicality: an Abridged Report

Botta M.;Esposito R.;
2024-01-01

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.
2024
1st International Workshop on Artificial Intelligence for Climate Change, 12th Italian Workshop on Planning and Scheduling, 31st RCRA Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion, and SPIRIT Workshop on Strategies, Prediction, Interaction, and Reasoning in Italy, AI4CC-IPS-RCRA-SPIRIT 2024
ita
2024
CEUR Workshop Proceedings
CEUR-WS
3883
110
117
Explainability; Many-valued Description Logics; Preferential Logics; Temporal Logics
Alviano M.; Botta M.; Esposito R.; Giordano L.; Dupre D.T.
File in questo prodotto:
File Dimensione Formato  
Many-valued Temporal Description Logics Report.pdf

Accesso aperto

Tipo di file: PDF EDITORIALE
Dimensione 1.13 MB
Formato Adobe PDF
1.13 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2075041
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact