Proving Almost-Sure Innermost Termination of Probabilistic Term Rewriting Using Dependency Pairs
Jan-Christoph Kassing, J\"urgen Giesl

TL;DR
This paper extends the dependency pair technique to probabilistic term rewriting systems to automatically prove almost-sure innermost termination, implemented in the AProVE tool.
Contribution
It introduces a novel probabilistic dependency pair framework for termination analysis and provides an implementation in AProVE.
Findings
Successfully proved almost-sure innermost termination for probabilistic TRSs
Extended dependency pair framework to probabilistic settings
Implemented and tested in the AProVE tool
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.
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Taxonomy
TopicsNatural Language Processing Techniques · Semantic Web and Ontologies · Advanced Database Systems and Queries
