Abstract
The complexity of modeling planning domains is a major obstacle for making automated planning techniques more accessible, raising the demand of tools for providing modeling assistance. In particular, tools that can automatically correct errors in a planning domain are of great importance. Previous works have devoted efforts to developing such approaches for correcting classical (non-hierarchical) domains. However, no approaches exist for hierarchical planning, which is what we offer here. More specifically, our approach takes as input a flawed hierarchical domain together with a plan known to be a solution but actually contradicting the domain (due to errors in the domain) and outputs corrections to the domain that add missing actions to the domain which turn the plan into a solution. The approach achieves this by compiling the problem of finding corrections to another hierarchical planning problem.
| Original language | English |
|---|---|
| Pages (from-to) | 55-63 |
| Number of pages | 9 |
| Journal | The International Symposium on Combinatorial Search |
| Volume | 17 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jun 2024 |
| Event | 17th International Symposium on Combinatorial Search, SoCS 2024 - Kananaskis, Canada Duration: 6 Jun 2024 → 8 Jun 2024 |
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