Solving planning domains with polytree causal graphs is NP-complete
| dc.creator | Giménez, Omer | |
| dc.date | 2006-10-16 | |
| dc.date.accessioned | 2026-07-07T07:27:52Z | |
| dc.date.available | 2026-07-07T07:27:52Z | |
| dc.description | We show that solving planning domains on binary variables with polytree causal graph is \NP-complete. This is in contrast to a polynomial-time algorithm of Domshlak and Brafman that solves these planning domains for polytree causal graphs of bounded indegree. | |
| dc.identifier | https://arxiv.org/abs/cs/0610095 | |
| dc.identifier | http://arxiv.org/abs/cs/0610095 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/117530 | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Computational Complexity | |
| dc.subject | I.2.8 | |
| dc.title | Solving planning domains with polytree causal graphs is NP-complete | |
| dc.type | text |