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A Visual Studio Code Extension for Automatically Repairing Planning Domains

dc.contributor.authorLin, Songtuanen
dc.contributor.authorYousfi, Mohammaden
dc.contributor.authorBercher, Pascalen
dc.date.accessioned2026-06-17T20:42:12Z
dc.date.available2026-06-17T20:42:12Z
dc.date.issued2024-06-05en
dc.description.abstractWe demonstrate a Visual Studio Code extension which aims at providing modeling assistance for modeling planning domains in PDDL, which serves as a front-end of our previous work. The extension can identify potential flaws in a domain and propose respective corrections by taking as input a set of counter-example plans, which are known to be valid but actually contradict the domain. Those input plans shall be provided by the user. The flaws are then identified and corrected by making changes to the domain so as to turn those plans into solutions, i.e., the changes are regarded as potential corrections to the domain. The extension supports corrections that add predicates to or remove predicates from actions’ preconditions and effects.en
dc.description.statusPeer-revieweden
dc.format.extent2en
dc.identifier.otherORCID:/0000-0002-0795-4320/work/217693522en
dc.identifier.urihttps://hdl.handle.net/1885/733811530
dc.language.isoenen
dc.relation.ispartofseries34th International Conference on Automated Planning and Scheduling, ICAPS 2024en
dc.titleA Visual Studio Code Extension for Automatically Repairing Planning Domainsen
dc.typeConference paperen
dspace.entity.typePublicationen
local.contributor.affiliationLin, Songtuan; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationYousfi, Mohammad; ANUen
local.contributor.affiliationBercher, Pascal; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.identifier.pure018dd1a5-795f-41a9-80d9-abf9c0cc620cen
local.identifier.urlhttps://icaps24.icaps-conference.org/program/demos/en
local.type.statusPublisheden

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