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Revealing Hidden Preconditions and Effects of Compound HTN Planning Tasks - A Complexity Analysis

Title: Revealing Hidden Preconditions and Effects of Compound HTN Planning Tasks - A Complexity Analysis
Authors: Olz, Conny; Biundo, Susanne; Bercher, Pascal
Publisher Information: The AAAI Press
Publication Year: 2022
Collection: Australian National University: ANU Digital Collections
Subject Geographic: virtual
Description: In Hierarchical Task Network (HTN) planning, compound tasks need to be refined into executable (primitive) action sequences. In contrast to their primitive counterparts, compound tasks do not show preconditions or effects. Thus, their implications on the states in which they are applied are not explicitly known: they are "hidden" in and depending on the decomposition structure. We formalize several kinds of preconditions and effects that can be inferred for compound tasks in totally ordered HTN domains. As relevant special case we introduce a problem relaxation which admits reasoning about preconditions and effects in polynomial time. We provide procedures for doing so, thereby extending previous work, which could only deal with acyclic models. We prove our procedures to be correct and complete for any totally ordered input domain. The results are embedded into an encompassing complexity analysis of the inference of preconditions and effects of compound tasks, an investigation that has not been made so far.
Document Type: conference object
File Description: application/pdf
Language: English
Relation: Thirty-Fifth AAAI Conference on Artificial Intelligence; https://hdl.handle.net/1885/312464
DOI: 10.1609/aaai.v35i13.17414
Availability: https://hdl.handle.net/1885/312464; https://doi.org/10.1609/aaai.v35i13.17414; https://openresearch-repository.anu.edu.au/bitstreams/43c0260d-5a17-460a-9926-d425ebeb041c/download; https://openresearch-repository.anu.edu.au/bitstreams/0571d375-db0f-40d7-98f4-50814b3fad6e/download
Rights: © 2021 Association for the Advancement of Artificial Intelligence
Accession Number: edsbas.EFE4A84F
Database: BASE