In this paper, we study synthesis from logical specifications over finite traces expressed in LTLf and its extension LDLf. Specifically, in this form of synthesis, propositions are partitioned in controllable and uncontrollable ones, and the synthesis task consists of setting the controllable propositions over time so that, in spite of how the value of the uncon- trollable ones changes, the specification is fulfilled. Conditional planning in presence of declarative and procedural trajectory constraints is a special case of this form of synthesis. We characterize the problem computationally as 2EXPTIME-complete and present a sound and complete synthesis technique based on DFA (reachability) games.

Synthesis for LTL and LDL on Finite Traces / De Giacomo, Giuseppe; Vardi, Moshe Y.. - STAMPA. - (2015), pp. 1558-1564. (Intervento presentato al convegno Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015 tenutosi a Buenos Aires; Argentina nel July 25-31, 2015).

Synthesis for LTL and LDL on Finite Traces

DE GIACOMO, Giuseppe
;
2015

Abstract

In this paper, we study synthesis from logical specifications over finite traces expressed in LTLf and its extension LDLf. Specifically, in this form of synthesis, propositions are partitioned in controllable and uncontrollable ones, and the synthesis task consists of setting the controllable propositions over time so that, in spite of how the value of the uncon- trollable ones changes, the specification is fulfilled. Conditional planning in presence of declarative and procedural trajectory constraints is a special case of this form of synthesis. We characterize the problem computationally as 2EXPTIME-complete and present a sound and complete synthesis technique based on DFA (reachability) games.
2015
Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015
Artificial Intelligence; Temporal Logics, LTL, Automated Synthesis
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Synthesis for LTL and LDL on Finite Traces / De Giacomo, Giuseppe; Vardi, Moshe Y.. - STAMPA. - (2015), pp. 1558-1564. (Intervento presentato al convegno Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015 tenutosi a Buenos Aires; Argentina nel July 25-31, 2015).
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Note: https://dl.acm.org/doi/10.5555/2832415.2832466
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/839710
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