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Complexity of fuzzy answer set programming under Łukasiewicz semantics: first results

Marjon Blondeel, Steven Schockaert, Martine De Cock UGent and Dirk Vermeir (2011) Poster proceedings of the 5th international conference on scalable uncertainty management. p.7-12
abstract
Fuzzy answer set programming (FASP) has recently been proposed as a generalization of answer set programming in which propositions are allowed to be graded. Little is known about its computational complexity. In this paper we present some results and reveal a connection to an open problem about integer equations, suggesting that characterizing the complexity of FASP may not be straightforward.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
in
Poster proceedings of the 5th international conference on scalable uncertainty management
pages
7 - 12
conference name
5th International conference on Scalable Uncertainty Management (SUM 2011)
conference location
Dayton, OH, USA
conference start
2011-10-10
conference end
2011-10-13
project
Bioinformatics: from nucleotids to networks (N2N)
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1987081
handle
http://hdl.handle.net/1854/LU-1987081
date created
2012-01-16 13:27:30
date last changed
2016-12-19 15:37:06
@inproceedings{1987081,
  abstract     = {Fuzzy answer set programming (FASP) has recently been proposed as a generalization of answer set programming in which propositions are allowed to be graded. Little is known about its computational complexity. In this paper we present some results and reveal a connection to an open problem about integer equations, suggesting that characterizing the complexity of FASP may not be straightforward.},
  author       = {Blondeel, Marjon and Schockaert, Steven and De Cock, Martine and Vermeir, Dirk },
  booktitle    = {Poster proceedings of the 5th international conference on scalable uncertainty management},
  language     = {eng},
  location     = {Dayton, OH, USA},
  pages        = {7--12},
  title        = {Complexity of fuzzy answer set programming under \unmatched{0141}ukasiewicz semantics: first results},
  year         = {2011},
}

Chicago
Blondeel, Marjon, Steven Schockaert, Martine De Cock, and Dirk Vermeir. 2011. “Complexity of Fuzzy Answer Set Programming Under Łukasiewicz Semantics: First Results.” In Poster Proceedings of the 5th International Conference on Scalable Uncertainty Management, 7–12.
APA
Blondeel, M., Schockaert, S., De Cock, M., & Vermeir, D. (2011). Complexity of fuzzy answer set programming under Łukasiewicz semantics: first results. Poster proceedings of the 5th international conference on scalable uncertainty management (pp. 7–12). Presented at the 5th International conference on Scalable Uncertainty Management (SUM 2011).
Vancouver
1.
Blondeel M, Schockaert S, De Cock M, Vermeir D. Complexity of fuzzy answer set programming under Łukasiewicz semantics: first results. Poster proceedings of the 5th international conference on scalable uncertainty management. 2011. p. 7–12.
MLA
Blondeel, Marjon, Steven Schockaert, Martine De Cock, et al. “Complexity of Fuzzy Answer Set Programming Under Łukasiewicz Semantics: First Results.” Poster Proceedings of the 5th International Conference on Scalable Uncertainty Management. 2011. 7–12. Print.