{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:38:07Z","timestamp":1761176287916,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686318","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,21]]},"abstract":"<jats:p>Knowledge engineering for AI planning remains a significant challenge, particularly in the creation and maintenance of accurate domain models. A recent approach to correcting flawed models involves using test plans: non-solution plans that are intended to be solutions. However, these plans must be grounded, which restricts the modeler\u2019s ability to specify repairs at various levels of abstraction, especially when only partial information about the grounding is available. In this paper, we propose a novel approach that extends domain repair capabilities to handle lifted test plans, in which action parameters can remain unspecified. We introduce a novel search algorithm along with a heuristic function for solving the problem with lifted test plans. Our experimental results demonstrate that the proposed approach efficiently solves a wide range of problems and finds close approximations to optimal solutions in the majority of cases.<\/jats:p>","DOI":"10.3233\/faia251385","type":"book-chapter","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T10:00:10Z","timestamp":1761127210000},"source":"Crossref","is-referenced-by-count":0,"title":["Repairing Planning Domains Based on Lifted Test Plans"],"prefix":"10.3233","author":[{"given":"Nader Karimi","family":"Bavandpour","sequence":"first","affiliation":[{"name":"College of Systems & Society, the Australian National University, Australia"}]},{"given":"Pascal","family":"Lauer","sequence":"additional","affiliation":[{"name":"College of Systems & Society, the Australian National University, Australia"},{"name":"Saarland Informatics Campus, Saarland University, Germany"}]},{"given":"Songtuan","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Systems & Society, the Australian National University, Australia"},{"name":"Saarland Informatics Campus, Saarland University, Germany"}]},{"given":"Pascal","family":"Bercher","sequence":"additional","affiliation":[{"name":"College of Systems & Society, the Australian National University, Australia"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251385","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T10:00:10Z","timestamp":1761127210000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251385"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"ISBN":["9781643686318"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251385","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]}}}