From Innermost to Full Almost-Sure Termination of Probabilistic Term Rewriting
Jan-Christoph Kassing, Florian Frohn, J\"urgen Giesl

TL;DR
This paper adapts syntactic criteria from deterministic to probabilistic term rewriting to automatically prove almost-sure termination, enhancing the analysis of probabilistic systems with practical implementation in AProVE.
Contribution
It introduces criteria for inferring full almost-sure termination of probabilistic term rewrite systems from innermost termination analysis.
Findings
Criteria successfully applied to PTRSs
Implementation in AProVE demonstrates effectiveness
Extends termination analysis to probabilistic rewriting
Abstract
There are many evaluation strategies for term rewrite systems, but proving termination automatically is usually easiest for innermost rewriting. Several syntactic criteria exist when innermost termination implies full termination. We adapt these criteria to the probabilistic setting, e.g., we show when it suffices to analyze almost-sure termination (AST) w.r.t. innermost rewriting to prove full AST of probabilistic term rewrite systems (PTRSs). These criteria also apply to other notions of termination like positive AST. We implemented and evaluated our new contributions in the tool AProVE.
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Taxonomy
TopicsNatural Language Processing Techniques · Semantic Web and Ontologies · Logic, programming, and type systems
