Other formats:
BibTeX
LaTeX
RIS
@inproceedings{1344311, author = {Kronegger, Martin and Ordyniak, Sebastian and Pfandler, Andreas}, address = {Austin; United States}, booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence}, keywords = {Planning; Fixed-parameter tractable algorithms; (Parameterized) complexity theory; Backdoors}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Austin; United States}, isbn = {978-1-57735-703-2}, pages = {3305-3312}, publisher = {AI Access Foundation}, title = {Variable-Deletion Backdoors to Planning}, url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9885}, year = {2015} }
TY - JOUR ID - 1344311 AU - Kronegger, Martin - Ordyniak, Sebastian - Pfandler, Andreas PY - 2015 TI - Variable-Deletion Backdoors to Planning PB - AI Access Foundation CY - Austin; United States SN - 9781577357032 KW - Planning KW - Fixed-parameter tractable algorithms KW - (Parameterized) complexity theory KW - Backdoors UR - https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9885 N2 - Backdoors are a powerful tool to obtain efficient algorithms for hard problems. Recently, two new notions of backdoors to planning were introduced. However, for one of the new notions (i.e., variable-deletion) only hardness results are known so far. In this work we improve the situation by defining a new type of variabledeletion backdoors based on the extended causal graph of a planning instance. For this notion of backdoors several fixed-parameter tractable algorithms are identified. Furthermore, we explore the capabilities of polynomial time preprocessing, i.e., we check whether there exists a polynomial kernel. Our results also show the close connection between planning and verification problems such as Vector Addition System with States (VASS). ER -
KRONEGGER, Martin, Sebastian ORDYNIAK and Andreas PFANDLER. Variable-Deletion Backdoors to Planning. In \textit{Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence}. Austin; United States: AI Access Foundation, 2015, p.~3305-3312. ISBN~978-1-57735-703-2.
|