We study best-effort strategies (aka plans) in fully observable nondeterministic domains (FOND) for goals expressed in Linear Temporal Logic on Finite Traces (LTL ). The notion of best-effort strategy has been introduced to also deal with the scenario when no agent strategy exists that fulfills the goal against every possible nondeterministic environment reaction. Such strategies fulfill the goal if possible, and do their best to do so otherwise. We present a technique for synthesizing best-effort strategies and propose some possible extensions of best-effort synthesis for multiple goal and planning domain specifications.

LTLf Best-Effort Synthesis for Single and Multiple Goal and Planning Domain Specifications / Parretti, Gianmarco. - (2023), pp. 514-520. (Intervento presentato al convegno 20th European Conference of Multi-Agents Systems tenutosi a Napoli).

LTLf Best-Effort Synthesis for Single and Multiple Goal and Planning Domain Specifications

Parretti, Gianmarco
2023

Abstract

We study best-effort strategies (aka plans) in fully observable nondeterministic domains (FOND) for goals expressed in Linear Temporal Logic on Finite Traces (LTL ). The notion of best-effort strategy has been introduced to also deal with the scenario when no agent strategy exists that fulfills the goal against every possible nondeterministic environment reaction. Such strategies fulfill the goal if possible, and do their best to do so otherwise. We present a technique for synthesizing best-effort strategies and propose some possible extensions of best-effort synthesis for multiple goal and planning domain specifications.
2023
20th European Conference of Multi-Agents Systems
Linear Temporal Logic on Finite Traces;Planning in Nondetermninistic Domains;Best-Effort Strategies;Multiple Goals;Multiple Planning Domains
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
LTLf Best-Effort Synthesis for Single and Multiple Goal and Planning Domain Specifications / Parretti, Gianmarco. - (2023), pp. 514-520. (Intervento presentato al convegno 20th European Conference of Multi-Agents Systems tenutosi a Napoli).
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

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/11573/1693769
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact