Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement
B. Dongol, G. Schellhorn, H. Wehrheim, in: B. Klin, S. Lasota, A. Muscholl (Eds.), 33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 31:1–31:23.
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Conference Paper
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Author
Dongol, Brijesh;
Schellhorn, Gerhard;
Wehrheim, HeikeLibreCat
Editor
Klin, Bartek;
Lasota, Slawomir;
Muscholl, Anca
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Proceedings Title
33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland
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LIPIcs
Volume
243
Page
31:1–31:23
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Dongol B, Schellhorn G, Wehrheim H. Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement. In: Klin B, Lasota S, Muscholl A, eds. 33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland. Vol 243. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2022:31:1–31:23. doi:10.4230/LIPIcs.CONCUR.2022.31
Dongol, B., Schellhorn, G., & Wehrheim, H. (2022). Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement. In B. Klin, S. Lasota, & A. Muscholl (Eds.), 33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland (Vol. 243, p. 31:1–31:23). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2022.31
@inproceedings{Dongol_Schellhorn_Wehrheim_2022, series={LIPIcs}, title={Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement}, volume={243}, DOI={10.4230/LIPIcs.CONCUR.2022.31}, booktitle={33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland}, publisher={Schloss Dagstuhl - Leibniz-Zentrum für Informatik}, author={Dongol, Brijesh and Schellhorn, Gerhard and Wehrheim, Heike}, editor={Klin, Bartek and Lasota, Slawomir and Muscholl, Anca}, year={2022}, pages={31:1–31:23}, collection={LIPIcs} }
Dongol, Brijesh, Gerhard Schellhorn, and Heike Wehrheim. “Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement.” In 33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland, edited by Bartek Klin, Slawomir Lasota, and Anca Muscholl, 243:31:1–31:23. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022. https://doi.org/10.4230/LIPIcs.CONCUR.2022.31.
B. Dongol, G. Schellhorn, and H. Wehrheim, “Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement,” in 33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland, 2022, vol. 243, p. 31:1–31:23, doi: 10.4230/LIPIcs.CONCUR.2022.31.
Dongol, Brijesh, et al. “Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement.” 33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland, edited by Bartek Klin et al., vol. 243, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 31:1–31:23, doi:10.4230/LIPIcs.CONCUR.2022.31.
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