Proceedings

A Structural Complexity Analysis of Hierarchical Task Network Planning

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 4391-4400.

https://doi.org/10.24963/ijcai.2025/489

Abstract

We perform a refined complexity-theoretic analysis of three classical problems in the context of Hierarchical Task Network Planning: the verification of a provided plan, whether an executable plan exists, and whether a given state can be reached. Our focus lies on identifying structural properties which yield tractability. We obtain new polynomial algorithms for all three problems on a natural class of primitive networks, along with corresponding lower bounds. We also obtain an algorithmic meta-theorem for lifting polynomial-time solvability from primitive to general task networks, and prove that its preconditions are tight. Finally, we analyze the parameterized complexity of the three problems.

Cornelius Brand, Robert Ganian, Fionn Mc Inerney, and Simon Wietheger. 2025. A Structural Complexity Analysis of Hierarchical Task Network Planning. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25. IJCAI, 4391–4400. https://doi.org/10.24963/ijcai.2025/489
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