liu.seSearch for publications in DiVA
Planned maintenance
A system upgrade is planned for 10/12-2024, at 12:00-13:00. During this time DiVA will be unavailable.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Some Fixed Parameter Tractability Results for Planning with Non-Acyclic Domain-Transition Graphs
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. (TCSLAB)
Number of Authors: 12015 (English)In: Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-2015), AAAI Press, 2015Conference paper, Published paper (Refereed)
Abstract [en]

Bäckström studied the parameterised complexity of planning when the domain-transition graphs (DTGs) are acyclic. He used the parameters d (domain size), k (number of paths in the DTGs) and w (treewidth of the causal graph), and showed that planning is fixed-parameter tractable (fpt) in these parameters, and fpt in only parameter k if the causal graph is a polytree. We continue this work by considering some additional cases of non-acyclic DTGs. In particular, we consider the case where each strongly connected component (SCC) in a DTG must be a simple cycle, and we show that planning is fpt for this case if the causal graph is a polytree. This is done by first preprocessing the instance to construct an equivalent abstraction and then apply B¨ackstr¨oms technique to this abstraction. We use the parameters d and k, reinterpreting this as the number of paths in the condensation of a DTG, and the two new parameters c (the number of contracted cycles along a path) and pmax (an upper bound for walking around cycles, when not unbounded).

Place, publisher, year, edition, pages
AAAI Press, 2015.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-129207ISI: 000485625503039ISBN: 978-1-57735-698-1 (print)OAI: oai:DiVA.org:liu-129207DiVA, id: diva2:936187
Conference
Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-2015)
Available from: 2016-06-13 Created: 2016-06-13 Last updated: 2020-06-29

Open Access in DiVA

No full text in DiVA

Other links

http://www.ida.liu.se/~chrba09/Papers/aaai15.pdf

Authority records

Bäckström, Christer

Search in DiVA

By author/editor
Bäckström, Christer
By organisation
Software and SystemsFaculty of Science & Engineering
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 47 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf