Piero A. Bonatti ; Carsten Lutz ; Aniello Murano ; Moshe Y. Vardi - The Complexity of Enriched Mu-Calculi

lmcs:993 - Logical Methods in Computer Science, September 22, 2008, Volume 4, Issue 3 - https://doi.org/10.2168/LMCS-4(3:11)2008
The Complexity of Enriched Mu-CalculiArticle

Authors: Piero A. Bonatti ORCID; Carsten Lutz ORCID; Aniello Murano ORCID; Moshe Y. Vardi

    The fully enriched μ-calculus is the extension of the propositional μ-calculus with inverse programs, graded modalities, and nominals. While satisfiability in several expressive fragments of the fully enriched μ-calculus is known to be decidable and ExpTime-complete, it has recently been proved that the full calculus is undecidable. In this paper, we study the fragments of the fully enriched μ-calculus that are obtained by dropping at least one of the additional constructs. We show that, in all fragments obtained in this way, satisfiability is decidable and ExpTime-complete. Thus, we identify a family of decidable logics that are maximal (and incomparable) in expressive power. Our results are obtained by introducing two new automata models, showing that their emptiness problems are ExpTime-complete, and then reducing satisfiability in the relevant logics to these problems. The automata models we introduce are two-way graded alternating parity automata over infinite trees (2GAPTs) and fully enriched automata (FEAs) over infinite forests. The former are a common generalization of two incomparable automata models from the literature. The latter extend alternating automata in a similar way as the fully enriched μ-calculus extends the standard μ-calculus.


    Volume: Volume 4, Issue 3
    Published on: September 22, 2008
    Imported on: January 7, 2007
    Keywords: Computer Science - Logic in Computer Science,Computer Science - Computation and Language,F.3.1,F.4.1
    Funding:
      Source : OpenAIRE Graph
    • Automata-Theoretic Approach to Design Verification; Funder: National Science Foundation; Code: 0311326
    • MRI: Acquisition of CITI Terascale Cluster (CTC); Funder: National Science Foundation; Code: 0216467

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