Change the World - How Hard Can that Be? On the Computational Complexity of Fixing Planning Models
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 4152-4159.
https://doi.org/10.24963/ijcai.2021/571
Keywords
- Planning and Scheduling: Theoretical Foundations of Planning
- Planning and Scheduling: Model-Based Reasoning
- Planning and Scheduling: Hierarchical Planning
Abstract
Incorporating humans into AI planning is an important feature of flexible planning technology. Such human integration allows to incorporate previously unknown constraints, and is also an integral part of automated modeling assistance. As a foundation for integrating user requests, we study the computational complexity of determining the existence of changes to an existing model, such that the resulting model allows for specific user-provided solutions. We are provided with a planning problem modeled either in the classical (non-hierarchical) or hierarchical task network (HTN) planning formalism, as well as with a supposed-to-be solution plan, which is actually not a solution for the current model. Considering changing decomposition methods as well as preconditions and effects of actions, we show that most change requests are NP-complete though some turn out to be tractable.
@inproceedings{ijcai2021p571,
title = {Change the World - How Hard Can that Be? On the Computational Complexity of Fixing Planning Models},
author = {Lin, Songtuan and Bercher, Pascal},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {4152--4159},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/571},
url = {https://doi.org/10.24963/ijcai.2021/571},
}
TY - CPAPER TI - Change the World - How Hard Can that Be? On the Computational Complexity of Fixing Planning Models AU - Lin, Songtuan AU - Bercher, Pascal T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 4152 EP - 4159 DO - 10.24963/ijcai.2021/571 UR - https://doi.org/10.24963/ijcai.2021/571 ER -Copied
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