dc.contributor.author |
Bartak, Roman |
|
dc.contributor.author |
Ondrckova, Simona |
|
dc.contributor.author |
Maillard, Adrien H |
|
dc.contributor.author |
Behnke, Gregor |
|
dc.contributor.author |
Bercher, Pascal |
|
dc.date.accessioned |
2022-01-10T19:47:23Z |
|
dc.date.available |
2022-01-10T19:47:23Z |
|
dc.date.issued |
2020-11-09 |
|
dc.identifier.citation |
32th International Conference on Tools with Artificial Intelligence, Baltimore, Maryland, November 9-11, 2020 |
|
dc.identifier.clearanceno |
CL#20-4201 |
|
dc.identifier.uri |
http://hdl.handle.net/2014/53062 |
|
dc.description.abstract |
Hierarchical Task Networks were proposed as amethod to describe plans by decomposition of tasks to subtasksuntil primitive tasks, actions, are obtained. Valid plans –sequences of actions – must adhere both to causal dependenciesbetween the actions and to the structure given by the decompositionof the goal task. Plan verification aims at finding if a givenplan is valid, that is, if it is causally consistent and it can beobtained by decomposition of some task. The paper describes anovel parsing-based approach for hierarchical plan verificationthat is orders of magnitude faster than existing methods. |
|
dc.description.sponsorship |
NASA/JPL |
en_US |
dc.language.iso |
en_US |
|
dc.publisher |
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2020 |
|
dc.title |
A Novel Parsing-based Approach for Verification of Hierarchical Plans |
|
dc.type |
Preprint |
|