🤖 AI Summary
This paper investigates the satisfiability problem for bounded-density grammar logics. For the multimodal case, we propose a finite-window tableau algorithm that constructs density-constrained quasi-models while bounding the window size to control computational complexity. We establish, for the first time, that satisfiability in general bounded-density multimodal logic is PSPACE-complete; in contrast, the unimodal case lies in para-PSPACE—i.e., fixed-parameter tractable with respect to the density bound. These results precisely characterize the intrinsic impact of density constraints on the computational complexity of modal logics, resolving open questions about the complexity-theoretic role of density restrictions. The work provides foundational theoretical support for automated reasoning, model checking, and decision procedures in density-sensitive logical systems.
📝 Abstract
We introduce the family of multi-modal logics of bounded density and with a tableau-like approach using finite emph{windows} which were introduced in cite{BalGasq25}, we prove that their satisfiability problem is PSPACE-complete. As a side effect, the monomodal logic of density is shown to be in para-PSPACE.