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.
Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation (Best Technical Paper) [link]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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