Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation (Best Technical Paper). Grumbach, L. & Bergmann, R. In Bramer, M. & Petridis, M., editors, Artificial Intelligence XXXIV - 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings, volume 10630, of Lecture Notes in Computer Science, pages 3–17, 2017. Springer. Paper doi bibtex @inproceedings{DBLP:conf/sgai/GrumbachB17,
author = {Lisa Grumbach and
Ralph Bergmann},
editor = {Max Bramer and
Miltos Petridis},
title = {Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility
by Deviation (Best Technical Paper)},
booktitle = {Artificial Intelligence {XXXIV} - 37th {SGAI} International Conference
on Artificial Intelligence, {AI} 2017, Cambridge, UK, December 12-14,
2017, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {10630},
pages = {3--17},
publisher = {Springer},
year = {2017},
url = {https://doi.org/10.1007/978-3-319-71078-5\_1},
doi = {10.1007/978-3-319-71078-5\_1},
timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/sgai/GrumbachB17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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