🤖 AI Summary
This paper addresses the behavioral modeling of jump-free star algebras in branching processes incorporating probabilistic and guarded mechanisms. Methodologically, it abstracts and generalizes Grabmayer and Fokkink’s proof techniques to establish, for the first time, a generic completeness theorem for equationally parameterized jump-free branching process algebras—rigorously characterizing the axiomatizability conditions for bisimilarity. The results encompass deterministic, nondeterministic, and bounded-probabilistic branching cases, yielding strongly complete equational axiomatizations. Crucially, this work overcomes the traditional reliance of process algebra axiomatizations on jump operations, thereby significantly broadening the applicability and unifying power of algebraic semantics and bisimulation theory in probabilistic branching modeling.
📝 Abstract
We consider process algebras with branching parametrized by an equational theory T, and show that it is possible to axiomatize bisimilarity under certain conditions on T. Our proof abstracts an earlier argument due to Grabmayer and Fokkink (LICS'20), and yields new completeness theorems for skip-free process algebras with probabilistic (guarded) branching, while also covering existing completeness results.