Dependency Tuples for Almost-Sure Innermost Termination of Probabilistic Term Rewriting (Short WST Version)
Jan-Christoph Kassing, J\"urgen Giesl

TL;DR
This paper extends the dependency pair framework to probabilistic term rewrite systems to automatically prove almost-sure innermost termination, with implementation in the AProVE tool.
Contribution
It introduces a novel adaptation of dependency pairs for probabilistic TRSs and demonstrates its effectiveness through implementation.
Findings
Successfully adapted dependency pairs to probabilistic TRSs
Implemented the framework in AProVE for automatic analysis
Proved almost-sure innermost termination in probabilistic settings
Abstract
Dependency pairs are one of the most powerful techniques to analyze termination of term rewrite systems (TRSs) automatically. We adapt the dependency pair framework to the probabilistic setting in order to prove almost-sure innermost termination of probabilistic TRSs. To evaluate its power, we implemented the new framework in our tool AProVE.
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
TopicsSemantic Web and Ontologies · Natural Language Processing Techniques · Advanced Database Systems and Queries
