In this paper, we study synthesis under partial observability for logical specifications over finite traces expressed in LTLf/LDLf. This form of synthesis can be seen as a generalization of planning under partial observability in nondeterministic domains, which is known to be 2EXPTIME-complete. We start by showing that the usual "belief-state construction" used in planning under partial observability works also for general LTLf/LDLf synthesis, though with a jump in computational complexity from 2EXPTIME to 3EXPTIME. Then we show that the belief-state construction can be avoided in favor of a direct automata construction which exploits projection to hide unobservable propositions. This allow us to prove that the problem remains 2EXPTIME-complete. The new synthesis technique proposed is effective and readily implementable.

LTLf and LDLf Synthesis under Partial Observability / DE GIACOMO, Giuseppe; Moshe, Vardi. - STAMPA. - (2016), pp. 1044-1050. (Intervento presentato al convegno 25th International Joint Conference on Artificial Intelligence, IJCAI 2016 tenutosi a New York, NY; United States nel 9-15 July 2016).

LTLf and LDLf Synthesis under Partial Observability

DE GIACOMO, Giuseppe
;
2016

Abstract

In this paper, we study synthesis under partial observability for logical specifications over finite traces expressed in LTLf/LDLf. This form of synthesis can be seen as a generalization of planning under partial observability in nondeterministic domains, which is known to be 2EXPTIME-complete. We start by showing that the usual "belief-state construction" used in planning under partial observability works also for general LTLf/LDLf synthesis, though with a jump in computational complexity from 2EXPTIME to 3EXPTIME. Then we show that the belief-state construction can be avoided in favor of a direct automata construction which exploits projection to hide unobservable propositions. This allow us to prove that the problem remains 2EXPTIME-complete. The new synthesis technique proposed is effective and readily implementable.
2016
25th International Joint Conference on Artificial Intelligence, IJCAI 2016
Finite traces; Logical specifications; Partial observability; Synthesis techniques; Unobservable
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
LTLf and LDLf Synthesis under Partial Observability / DE GIACOMO, Giuseppe; Moshe, Vardi. - STAMPA. - (2016), pp. 1044-1050. (Intervento presentato al convegno 25th International Joint Conference on Artificial Intelligence, IJCAI 2016 tenutosi a New York, NY; United States nel 9-15 July 2016).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/933407
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