dc.contributor.author |
Segovia-Aguas, Javier |
dc.contributor.author |
Jiménez, Sergio |
dc.contributor.author |
Jonsson, Anders, 1973- |
dc.date.accessioned |
2016-07-21T08:16:50Z |
dc.date.available |
2016-07-21T08:16:50Z |
dc.date.issued |
2016 |
dc.identifier.citation |
Segovia-Aguas J, Jiménez S, Jonsson A. Hierarchical finite state controllers for generalized planning. In: Kambhampati S, editor. Proceedings of the 25th International Joint Conference on Artificial Intelligence; 2016 July 9-15; New York, United States. Palo Alto: AAAI Press; 2016. p. 2325-41. |
dc.identifier.uri |
http://hdl.handle.net/10230/27095 |
dc.description.abstract |
Finite State Controllers (FSCs) are an effective way/nto represent sequential plans compactly. By imposing/nappropriate conditions on transitions, FSCs/ncan also represent generalized plans that solve a/nrange of planning problems from a given domain./nIn this paper we introduce the concept of hierarchical/nFSCs for planning by allowing controllers/nto call other controllers. We show that hierarchical/nFSCs can represent generalized plans more compactly/nthan individual FSCs. Moreover, our call/nmechanism makes it possible to generate hierarchical/nFSCs in a modular fashion, or even to apply/nrecursion. We also introduce a compilation that/nenables a classical planner to generate hierarchical/nFSCs that solve challenging generalized planning/nproblems. The compilation takes as input a set of/nplanning problems from a given domain and outputs/na single classical planning problem, whose solution/ncorresponds to a hierarchical FSC. |
dc.description.sponsorship |
This work is partially supported by grant TIN2015-67959 and the/nMaria de Maeztu Units of Excellence Programme MDM-2015-/n0502, MEC, Spain. Sergio Jimenez is partially supported by the /nJuan de la Cierva program funded by the Spanish government. |
dc.format.mimetype |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
Association for the Advancement of Artificial Intelligence (AAAI) |
dc.relation.ispartof |
Proceedings of the 25th International Joint Conference on Artificial Intelligence; 2016 July 9-15; New York, United States. Palo Alto: AAAI Press; 2016. p. 2325-41. |
dc.rights |
© 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org) |
dc.title |
Hierarchical finite state controllers for generalized planning |
dc.type |
info:eu-repo/semantics/conferenceObject |
dc.relation.projectID |
info:eu-repo/grantAgreement/ES/1PE/TIN2015-67959 |
dc.rights.accessRights |
info:eu-repo/semantics/openAccess |
dc.type.version |
info:eu-repo/semantics/acceptedVersion |