Incremental Contingency Planning for Recovering from Uncertain Outcomes

Yolanda E.-Martín, María D. R.-Moreno, David E. Smith. Incremental Contingency Planning for Recovering from Uncertain Outcomes. In Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado, editors, Advances in Artificial Intelligence - 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings. Volume 9868 of Lecture Notes in Computer Science, pages 237-247, Springer, 2016. [doi]

@inproceedings{E-MartinRS16,
  title = {Incremental Contingency Planning for Recovering from Uncertain Outcomes},
  author = {Yolanda E.-Martín and María D. R.-Moreno and David E. Smith},
  year = {2016},
  doi = {10.1007/978-3-319-44636-3_22},
  url = {http://dx.doi.org/10.1007/978-3-319-44636-3_22},
  researchr = {https://researchr.org/publication/E-MartinRS16},
  cites = {0},
  citedby = {0},
  pages = {237-247},
  booktitle = {Advances in Artificial Intelligence - 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings},
  editor = {Oscar Luaces and José A. Gámez and Edurne Barrenechea and Alicia Troncoso and Mikel Galar and Héctor Quintián and Emilio Corchado},
  volume = {9868},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-44635-6},
}