Modal Logics with Composition on Finite Forests: Expressivity and Complexity
Aus International Center for Computational Logic
Modal Logics with Composition on Finite Forests: Expressivity and Complexity
Bartosz BednarczykBartosz Bednarczyk, Stéphane DemriStéphane Demri, Raul FervariRaul Fervari, Alessio MansuttiAlessio Mansutti
Bartosz Bednarczyk, Stéphane Demri, Raul Fervari, Alessio Mansutti
Modal Logics with Composition on Finite Forests: Expressivity and Complexity
Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS 2020), June 2020
Modal Logics with Composition on Finite Forests: Expressivity and Complexity
Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS 2020), June 2020
- KurzfassungAbstract
We investigate the expressivity and computational complexity of two modal logics on finite forests equipped with operators to reason on submodels. The logic ML(|) extends the basic modal logic ML with the composition operator | from static ambient logic, whereas ML(∗) contains the separating conjunction ∗ from separation logic. Though both operators are second-order in nature, we show that ML(|) is as expressive as the graded modal logic GML (on finite trees) whereas ML(∗) lies strictly between ML and GML. Moreover, we establish that the satisfiability problem for ML(∗) is Tower-complete, whereas for ML(|) is (only) AExpPol-complete.As a by-product, we solve several open problems related to sister logics, such as static ambient logic, modal separation logic, and second-order modal logic on finite trees. - Weitere Informationen unter:Further Information: Link
- Forschungsgruppe:Research Group: Computational LogicComputational Logic
@inproceedings{BDFM2020,
author = {Bartosz Bednarczyk and St{\'{e}}phane Demri and Raul Fervari and
Alessio Mansutti},
title = {Modal Logics with Composition on Finite Forests: Expressivity and
Complexity},
booktitle = {Proceedings of the 35th Annual {ACM/IEEE} Symposium on Logic in
Computer Science (LICS 2020)},
year = {2020},
month = {June},
doi = {10.1145/3373718.3394787}
}