On Total-Order HTN Plan Verification with Method Preconditions – An Extension of the CYK Parsing Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10467446" target="_blank" >RIV/00216208:11320/23:10467446 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1609/aaai.v37i10.26420" target="_blank" >https://doi.org/10.1609/aaai.v37i10.26420</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1609/aaai.v37i10.26420" target="_blank" >10.1609/aaai.v37i10.26420</a>
Alternative languages
Result language
angličtina
Original language name
On Total-Order HTN Plan Verification with Method Preconditions – An Extension of the CYK Parsing Algorithm
Original language description
n this paper, we consider the plan verification problem for totally ordered (TO) HTN planning. The problem is proved to be solvable in polynomial time by recognizing its connection to the membership decision problem for context-free grammars. The current state-of-the-art TO plan verifier solves the problem by a blind search approach in order to deal with some state constraints and henceforth results in several overheads. However, many existing TOHTN planning benchmarks do not have these constraints. Hence, we ignore them in the paper and develop a TOHTN plan verification approach which avoids those overheads in the state-of-the-art TO verifier via extending the CYK algorithm.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 37th AAAI Conference on Artificial Intelligence
ISBN
978-1-57735-880-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
12041-12048
Publisher name
AAAI Press
Place of publication
Washington DC, USA
Event location
Washington DC USA
Event date
Feb 7, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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