This paper introduces Behavioral QLTL, a “behavioral” variant of Linear Temporal Logic (ltl) with second-order quantifiers. Behavioral qltl is characterized by the fact that the functions that assign the truth value of the quantified propositions along the trace can only depend on the past. In other words, such functions must be “processes” [1]. This gives the logic a strategic flavor that we usually associate with planning. Indeed we show that temporally extended planning in nondeterministic domains and ltl synthesis are expressed in Behavioral qltl through formulas with a simple quantification alternation. While as this alternation increases, we get to forms of planning/synthesis in which contingent and conformant planning aspects get mixed. We study this logic from the computational point of view and compare it to the original qltl (with non-behavioral semantics) and simpler forms of behavioral semantics.

Behavioral QLTL / De Giacomo, G.; Perelli, G.. - 14282:(2023), pp. 133-149. (Intervento presentato al convegno Proceedings of the 20th European Conference on Multi-Agent Systems, EUMAS 2023 tenutosi a Napoli; Italia) [10.1007/978-3-031-43264-4_9].

Behavioral QLTL

De Giacomo G.
;
Perelli G.
2023

Abstract

This paper introduces Behavioral QLTL, a “behavioral” variant of Linear Temporal Logic (ltl) with second-order quantifiers. Behavioral qltl is characterized by the fact that the functions that assign the truth value of the quantified propositions along the trace can only depend on the past. In other words, such functions must be “processes” [1]. This gives the logic a strategic flavor that we usually associate with planning. Indeed we show that temporally extended planning in nondeterministic domains and ltl synthesis are expressed in Behavioral qltl through formulas with a simple quantification alternation. While as this alternation increases, we get to forms of planning/synthesis in which contingent and conformant planning aspects get mixed. We study this logic from the computational point of view and compare it to the original qltl (with non-behavioral semantics) and simpler forms of behavioral semantics.
2023
Proceedings of the 20th European Conference on Multi-Agent Systems, EUMAS 2023
linear temporal logic; synthesis; planning; behavioral semantics;
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Behavioral QLTL / De Giacomo, G.; Perelli, G.. - 14282:(2023), pp. 133-149. (Intervento presentato al convegno Proceedings of the 20th European Conference on Multi-Agent Systems, EUMAS 2023 tenutosi a Napoli; Italia) [10.1007/978-3-031-43264-4_9].
File allegati a questo prodotto
File Dimensione Formato  
DeGiacomo_Behavioral-QLTL_2023.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 342.01 kB
Formato Adobe PDF
342.01 kB Adobe PDF   Contatta l'autore

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/11573/1691215
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact