We study planning for LTLf and LDLf temporally extended goals in nondeterministic fully observable domains (FOND). We consider both strong and strong cyclic plans, and develop foundational automata-based techniques to deal with both cases. Using these techniques we provide the computational characterization of both problems, separating the complexity in the size of the domain specification from that in the size of the formula. Specifically we establish them to be EXPTIME-complete and 2EXPTIME-complete, respectively, for both problems. In doing so, we also show 2EXPTIME-hardness for strong cyclic plans, which was open.

Automata-Theoretic Foundations of FOND Planning for LTLf and LDLf Goals / DE GIACOMO, Giuseppe; Rubin, Sasha. - (2018), pp. 4729-4735. (Intervento presentato al convegno 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 tenutosi a Stockholm; Sweden).

Automata-Theoretic Foundations of FOND Planning for LTLf and LDLf Goals

Giuseppe De Giacomo
;
RUBIN, SASHA
2018

Abstract

We study planning for LTLf and LDLf temporally extended goals in nondeterministic fully observable domains (FOND). We consider both strong and strong cyclic plans, and develop foundational automata-based techniques to deal with both cases. Using these techniques we provide the computational characterization of both problems, separating the complexity in the size of the domain specification from that in the size of the formula. Specifically we establish them to be EXPTIME-complete and 2EXPTIME-complete, respectively, for both problems. In doing so, we also show 2EXPTIME-hardness for strong cyclic plans, which was open.
2018
27th International Joint Conference on Artificial Intelligence, IJCAI 2018
Artificial Intelligence; Knowledge Representation and Reasoning; Action; Change and Causality Planning and Scheduling; Theoretical Foundations of Planning
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Automata-Theoretic Foundations of FOND Planning for LTLf and LDLf Goals / DE GIACOMO, Giuseppe; Rubin, Sasha. - (2018), pp. 4729-4735. (Intervento presentato al convegno 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 tenutosi a Stockholm; Sweden).
File allegati a questo prodotto
File Dimensione Formato  
DeGiacomo_Automata-Theoretic_2018.pdf

solo gestori archivio

Note: https://www.ijcai.org/proceedings/2018/
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 201.27 kB
Formato Adobe PDF
201.27 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/11573/1182875
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 45
  • ???jsp.display-item.citation.isi??? ND
social impact