Parsing-based Planner for Totally Ordered HTN Planning with Task Insertion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10507119" target="_blank" >RIV/00216208:11320/25:10507119 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICTAI66417.2025.00072" target="_blank" >https://doi.org/10.1109/ICTAI66417.2025.00072</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICTAI66417.2025.00072" target="_blank" >10.1109/ICTAI66417.2025.00072</a>
Alternative languages
Result language
angličtina
Original language name
Parsing-based Planner for Totally Ordered HTN Planning with Task Insertion
Original language description
Hierarchical task network (HTN) planning extends classical planning by incorporating a hierarchy of tasks that gives plans additional structure and speeds up planning. However, it requires that each action be part of some task in the domain model, which makes it less flexible when the task hierarchy does not capture all the possibilities to achieve every task. HTN planning with task insertion (TIHTN planning) extends HTN planning by allowing the insertion of actions outside the hierarchy, thus giving more flexibility to constructing hierarchical plans. TIHTN planning has been proposed as a theoretical concept to show some decidability and complexity results. This paper describes an implemented TIHTN planner for totally ordered domains utilizing top-down grammar parsing.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI)
ISBN
979-8-3315-4919-0
ISSN
1082-3409
e-ISSN
2375-0197
Number of pages
8
Pages from-to
483-490
Publisher name
IEEE
Place of publication
Neuveden
Event location
Athens, Greece
Event date
Nov 3, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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