Minimisation of ATL $$^*$$ ∗ Models

Autor: Serenella Cerrito, Amélie David
Přispěvatelé: Informatique, Biologie Intégrative et Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE), Université Paris Descartes - Paris 5 (UPD5)
Rok vydání: 2017
Předmět:
Zdroj: Lecture Notes in Computer Science ISBN: 9783319669014
TABLEAUX
26th International Conference on Automated Reasoning with Analytic Tableaux and Related Methods (TABLEAUX 2017)
26th International Conference on Automated Reasoning with Analytic Tableaux and Related Methods (TABLEAUX 2017), Sep 2017, Brasilia, Brazil. 10501, pp.193--208, 2017, Lecture Notes in Computer Science. 〈10.1007/978-3-319-66902-1_12〉
26th International Conference on Automated Reasoning with Analytic Tableaux and Related Methods (TABLEAUX 2017), Sep 2017, Brasilia, Brazil. pp.193--208, ⟨10.1007/978-3-319-66902-1_12⟩
DOI: 10.1007/978-3-319-66902-1_12
Popis: The aim of this work is to provide a general method to minimize the size (number of states) of a model \(\mathcal {M}\) of an \(\mathsf {ATL^*}\) formula. Our approach is founded on the notion of alternating bisimulation: given a model \(\mathcal {M}\), it is transformed in a stepwise manner into a new model \({\mathcal {M}}\)’ minimal with respect to bisimulation. The method has been implemented and will be integrated into the prover TATL, that constructively decides satifiability of an \(\mathsf {ATL^*}\) formula by building a tableau from which, when open, models of the input formula can be extracted.
Databáze: OpenAIRE