History-Preserving Bisimilarity for Higher-Dimensional Automata via Open Maps
Uli Fahrenberg, Axel Legay

TL;DR
This paper characterizes history-preserving bisimilarity for higher-dimensional automata using open-maps, making it decidable for finite cases by leveraging the open-maps framework in the category of unfoldings of precubical sets.
Contribution
It provides a simple, transition-based characterization of history-preserving bisimilarity for higher-dimensional automata, enabling decidability results.
Findings
Decidability of history-preserving bisimilarity for finite higher-dimensional automata
A transition-based characterization using open-maps
Application of open-maps framework to unfoldings of precubical sets
Abstract
We show that history-preserving bisimilarity for higher-dimensional automata has a simple characterization directly in terms of higher-dimensional transitions. This implies that it is decidable for finite higher-dimensional automata. To arrive at our characterization, we apply the open-maps framework of Joyal, Nielsen and Winskel in the category of unfoldings of precubical sets.
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.
