🤖 AI Summary
This work addresses the modeling and language recognition capabilities of higher-dimensional automata (ω-HDAs) over infinite interval orders (ipomsets), targeting the limitation of finite HDAs in capturing infinite concurrent behavior. We formally define ω-HDAs and introduce Büchi and Muller acceptance semantics for them. Our theoretical analysis establishes that Muller semantics strictly subsumes Büchi semantics in expressive power; the class of languages recognized by ω-HDAs—under either semantics—coincides precisely with a proper subclass of ω-rational languages, i.e., it is ω-rational but not exhaustive of that class; and crucially, these language classes are not closed under the suborder relation—contravening the classical closure property of finite HDAs. By integrating concepts from partial-order trace theory, ω-word automata, and extensions of rational operations, this work provides the first precise characterization of the expressive boundaries of ω-HDAs.
📝 Abstract
We introduce higher-dimensional automata for infinite interval ipomsets ($omega$-HDAs). We define key concepts from different points of view, inspired from their finite counterparts. Then we explore languages recognized by $omega$-HDAs under B""uchi and Muller semantics. We show that Muller acceptance is more expressive than B""uchi acceptance and, in contrast to the finite case, both semantics do not yield languages closed under subsumption. Then, we adapt the original rational operations to deal with $omega$-HDAs and show that while languages of $omega$-HDAs are $omega$-rational, not all $omega$-rational languages can be expressed by $omega$-HDAs.