A Verified Compositional Algorithm for AI Planning

dc.contributor.authorMansour (Abdulaziz), Mohammad
dc.contributor.authorGretton, Charles
dc.contributor.authorNorrish, Michael
dc.contributor.editorHarrison, John
dc.contributor.editorO'Leary, John
dc.contributor.editorTolmach, Andrew
dc.coverage.spatialPortland, Oregon
dc.date.accessioned2024-06-24T00:05:06Z
dc.date.available2024-06-24T00:05:06Z
dc.date.created8-13 September
dc.date.issued2019
dc.date.updated2024-02-04T07:16:02Z
dc.description.abstractWe report on our HOL4 verification of an AI planning algorithm. The algorithm is compositional in the following sense: a planning problem is divided into multiple smaller abstractions, then each of the abstractions is solved, and finally the abstractions' solutions are composed into a solution for the given problem. Formalising the algorithm, which was already quite well understood, revealed nuances in its operation which could lead to computing buggy plans. The formalisation also revealed that the algorithm can be presented more generally, and can be applied to systems with infinite states and actions, instead of only finite ones. Our formalisation extends an earlier model for slightly simpler transition systems, and demonstrates another step towards formal treatments of more and more of the algorithms and reasoning used in AI planning, as well as model checking.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn978-3-95977-122-1
dc.identifier.urihttps://hdl.handle.net/1885/733713343
dc.language.isoen_AUen_AU
dc.provenancelicensed under Creative Commons License CC-BY
dc.publisherSchloss Dagstuhl - Leibniz-Zentrum für Informatik
dc.relation.ispartofseriesInteractive Theorem Proving (ITP 2019)
dc.rights© Mohammad Abdulaziz, Charles Gretton, and Michael Norrish
dc.rights.licenseCC-BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.source10th International Conference on Interactive Theorem Proving (ITP 2019)
dc.subjectAI Planning
dc.subjectCompositional Algorithms
dc.subjectAlgorithm Verification
dc.subjectTransition Systems
dc.titleA Verified Compositional Algorithm for AI Planning
dc.typeConference paper
dcterms.accessRightsOpen Access
local.bibliographicCitation.lastpage19
local.bibliographicCitation.startpage1
local.contributor.affiliationMansour (Abdulaziz), Mohammad, College of Engineering, Computing and Cybernetics, ANU
local.contributor.affiliationGretton, Charles, College of Engineering, Computing and Cybernetics, ANU
local.contributor.affiliationNorrish, Michael, College of Engineering, Computing and Cybernetics, ANU
local.contributor.authoruidMansour (Abdulaziz), Mohammad, u5283270
local.contributor.authoruidGretton, Charles, u3223587
local.contributor.authoruidNorrish, Michael, u4087502
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor460209 - Planning and decision making
local.identifier.ariespublicationu6662439xPUB35
local.identifier.doi10.4230/LIPIcs.ITP.2019.4
local.publisher.urlhttps://drops.dagstuhl.de/
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
LIPIcs.ITP.2019.4.pdf
Size:
556.23 KB
Format:
Adobe Portable Document Format