Affiliation:
1. TU Vienna, Austria
2. University of Rome “La Sapienza”, Italy
3. The University of Sydney, Australia
Abstract
We study best-effort synthesis under environment assumptions specified in LTL, and show that this problem has exactly the same computational complexity of standard LTL synthesis: 2EXPTIME-complete. We provide optimal algorithms for computing best-effort strategies, both in the case of LTL over infinite traces and LTL over finite traces (i.e., LTLf). The latter are particularly well suited for implementation.
Publisher
International Joint Conferences on Artificial Intelligence Organization
Cited by
6 articles.
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