[Back]


Talks and Poster Presentations (with Proceedings-Entry):

M. Hecher, J. Fichte, M. Morak, S. Woltran:
"Answer Set Solving with Bounded Treewidth Revisited";
Talk: 14th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2017), Helsinki, Finland; 2017-07-03 - 2017-07-06; in: "Proc. of the 14th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2017)", M. Balduccini, T. Janhunen (ed.); Springer, (2017), 132 - 145.



English abstract:
Parameterized algorithms are a way to solve hard problems more efficiently, given that a specific parameter of the input is small. In this paper, we apply this idea to the field of answer set programming (ASP). To this end, we propose two kinds of graph representations of programs to exploit their treewidth as a parameter. Treewidth roughly measures to which extent the internal structure of a program resembles a tree. Our main contribution is the design of parameterized dynamic programming algorithms, which run in linear time if the treewidth and weights of the given program are bounded. Compared to previous work, our algorithms handle the full syntax of ASP. Finally, we report on an empirical evaluation that shows good runtime behaviour for benchmark instances of low treewidth, especially for counting answer sets.

Keywords:
Answer;Set; Solving;Bounded; Treewidth; Revisited;


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1007/978-3-319-61660-5_13


Created from the Publication Database of the Vienna University of Technology.