{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/high-level-representation-of-benchmark","title":"High-Level Representation of Benchmark Families for Petri Games","arxiv_id":"1904.05621","date":"2019-04-11","proceeding":null,"authors":["Manuel Gieseking","Ernst-Rüdiger Olderog"],"abstract":"Petri games have been introduced as a multi-player game model representing causal memory to address the synthesis of distributed systems. For Petri games with one environment player and an arbitrary bounded number of system players, deciding the existence of a safety strategy is EXPTIME-complete. This result forms the basis of the tool ADAM that implements an algorithm for the synthesis of distributed controllers from Petri games. To evaluate the tool, it has been checked on a series of parameterized benchmarks from manufacturing and workflow scenarios. In this paper, we introduce a new possibility to represent benchmark families for the distributed synthesis problem modeled with Petri games. It enables the user to specify an entire benchmark family as one parameterized high-level net. We describe example benchmark families as a high-level version of a Petri game and exhibit an instantiation yielding a concrete 1-bounded Petri game. We identify improvements either regarding the size or the functionality of the benchmark families by examining the high-level Petri games.","url_abs":"http://arxiv.org/abs/1904.05621v1","url_pdf":"http://arxiv.org/pdf/1904.05621v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"high-level-representation-of-benchmark","repo_url":"https://github.com/adamtool/high-level","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}