@InProceedings{Bercher2025ModelRepair,
  author    = {Pascal Bercher and Sarath Sreedharan and Mauro Vallati},
  booktitle = {Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025)},
  title     = {A Survey on Model Repair in AI Planning},
  year      = {2025},
  publisher = {IJCAI},
  abstract  = {Accurate planning models are a prerequisite for the appropriate functioning of AI planning applications. Creating these models is however a tedious and error-prone task -- even for planning experts, which makes the provision of automated modeling support essential. In this work, we differentiate between approaches that learn models from scratch (called domain model acquisition) and those that repair flawed or incomplete ones. We survey approaches for the latter, including those that can be used for domain repair but have been developed for other applications, discuss possible optimization metrics (i.e., which repaired model to aim at), and conclude with lines of research we believe deserves more attention.},
  keywords  = {conference,DECRA},
  url_Paper = {https://bercher.net/publications/2025/Bercher2025ModelRepairSurvey.pdf}
}

{"_id":"5FCBb7pojYAgm9MsG","bibbaseid":"bercher-sreedharan-vallati-asurveyonmodelrepairinaiplanning-2025","author_short":["Bercher, P.","Sreedharan, S.","Vallati, M."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Pascal"],"propositions":[],"lastnames":["Bercher"],"suffixes":[]},{"firstnames":["Sarath"],"propositions":[],"lastnames":["Sreedharan"],"suffixes":[]},{"firstnames":["Mauro"],"propositions":[],"lastnames":["Vallati"],"suffixes":[]}],"booktitle":"Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025)","title":"A Survey on Model Repair in AI Planning","year":"2025","publisher":"IJCAI","abstract":"Accurate planning models are a prerequisite for the appropriate functioning of AI planning applications. Creating these models is however a tedious and error-prone task – even for planning experts, which makes the provision of automated modeling support essential. In this work, we differentiate between approaches that learn models from scratch (called domain model acquisition) and those that repair flawed or incomplete ones. We survey approaches for the latter, including those that can be used for domain repair but have been developed for other applications, discuss possible optimization metrics (i.e., which repaired model to aim at), and conclude with lines of research we believe deserves more attention.","keywords":"conference,DECRA","url_paper":"https://bercher.net/publications/2025/Bercher2025ModelRepairSurvey.pdf","bibtex":"@InProceedings{Bercher2025ModelRepair,\n author = {Pascal Bercher and Sarath Sreedharan and Mauro Vallati},\n booktitle = {Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025)},\n title = {A Survey on Model Repair in AI Planning},\n year = {2025},\n publisher = {IJCAI},\n abstract = {Accurate planning models are a prerequisite for the appropriate functioning of AI planning applications. Creating these models is however a tedious and error-prone task -- even for planning experts, which makes the provision of automated modeling support essential. In this work, we differentiate between approaches that learn models from scratch (called domain model acquisition) and those that repair flawed or incomplete ones. We survey approaches for the latter, including those that can be used for domain repair but have been developed for other applications, discuss possible optimization metrics (i.e., which repaired model to aim at), and conclude with lines of research we believe deserves more attention.},\n keywords = {conference,DECRA},\n url_Paper = {https://bercher.net/publications/2025/Bercher2025ModelRepairSurvey.pdf}\n}\n\n","author_short":["Bercher, P.","Sreedharan, S.","Vallati, M."],"key":"Bercher2025ModelRepair","id":"Bercher2025ModelRepair","bibbaseid":"bercher-sreedharan-vallati-asurveyonmodelrepairinaiplanning-2025","role":"author","urls":{" paper":"https://bercher.net/publications/2025/Bercher2025ModelRepairSurvey.pdf"},"keyword":["conference","DECRA"],"metadata":{"authorlinks":{}},"downloads":7},"bibtype":"inproceedings","biburl":"https://bercher.net/bibtex/bibliography.bib","dataSources":["bPpsmYWjffAy6QHP5"],"keywords":["conference","decra"],"search_terms":["survey","model","repair","planning","bercher","sreedharan","vallati"],"title":"A Survey on Model Repair in AI Planning","year":2025,"downloads":11}