Planning Domain Repair as a Diagnosis Problem. Lin, S., Grastien, A., & Bercher, P. In Proceedings of the 33rd International Workshop on Principles of Diagnosis (DX 2022), 2022.
Paper
Slides abstract bibtex 12 downloads Techniques for diagnosis have been used in many applications. We explore the connection between diagnosis and AI planning in this paper and apply the diagnosis algorithm to repair a flawed planning domain. In particular, the scenario we are concerned with is that we are given a plan which is supposed to be a solution to a planning problem, but it is actually not due to some flaws in the planning domain, and we want to repair the domain to turn the plan into a solution. For this, we will first frame this problem as a diagnosis problem and then solve it via using diagnosis algorithms.
@InProceedings{Lin2022RepairAsDiagnosis,
author = {Songtuan Lin and Alban Grastien and Pascal Bercher},
booktitle = {Proceedings of the 33rd International Workshop on Principles of Diagnosis (DX 2022)},
title = {Planning Domain Repair as a Diagnosis Problem},
year = {2022},
abstract = {Techniques for diagnosis have been used in many applications. We explore the connection between diagnosis and AI planning in this paper and apply the diagnosis algorithm to repair a flawed planning domain. In particular, the scenario we are concerned with is that we are given a plan which is supposed to be a solution to a planning problem, but it is actually not due to some flaws in the planning domain, and we want to repair the domain to turn the plan into a solution. For this, we will first frame this problem as a diagnosis problem and then solve it via using diagnosis algorithms.},
url_Paper = {https://bercher.net/publications/2022/Lin2022RepairAsDiagnosis.pdf},
url_Slides = {https://bercher.net/publications/2022/Lin2022RepairAsDiagnosisSlides.pdf},
keywords = {workshop}
}
Downloads: 12
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