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Modeling Assistance for Hierarchical Planning: An Approach for Correcting Hierarchical Domains with Missing Actions

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6 Citations (Scopus)

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 languageEnglish
Pages (from-to)55-63
Number of pages9
JournalThe International Symposium on Combinatorial Search
Volume17
Issue number1
DOIs
Publication statusPublished - 1 Jun 2024
Event17th International Symposium on Combinatorial Search, SoCS 2024 - Kananaskis, Canada
Duration: 6 Jun 20248 Jun 2024

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