The Complexity of Probabilistic Justification Logic
Ioannis Kokkinis

TL;DR
This paper introduces a tableau decision procedure for probabilistic justification logic, establishing its satisfiability can be decided in polynomial space and proving this bound is optimal.
Contribution
It presents a polynomial-space tableau method for probabilistic justification logic and proves the tightness of this complexity bound.
Findings
Decidability of satisfiability in probabilistic justification logic
Polynomial-space tableau decision procedure
Optimality of the complexity bound
Abstract
Probabilistic justification logic is a modal logic with two kind of modalities: probability measures and explicit justification terms. We present a tableau procedure that can be used to decide the satisfiability problem for this logic in polynomial space. We show that this upper complexity bound is tight.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLogic, Reasoning, and Knowledge · Multi-Agent Systems and Negotiation · Semantic Web and Ontologies
