On Heuristics for Parsing-based Verification of Hierarchical Plans with a Goal Task
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10445014" target="_blank" >RIV/00216208:11320/22:10445014 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.32473/flairs.v35i.130606" target="_blank" >https://doi.org/10.32473/flairs.v35i.130606</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.32473/flairs.v35i.130606" target="_blank" >10.32473/flairs.v35i.130606</a>
Alternative languages
Result language
angličtina
Original language name
On Heuristics for Parsing-based Verification of Hierarchical Plans with a Goal Task
Original language description
Verification of hierarchical plans deals with the problem if a given action sequence is a valid hierarchical plan - the action sequence can be obtained by decomposing a particular (goal) task using given decomposition methods. The existing parsing-based verification approach greedily composes actions until it obtains the goal task. Greediness implies that this approach also generates tasks unrelated to the goal task. In this paper, we study the use of heuristics when creating new tasks. We also ask whether the prior knowledge of the goal task improves efficiency.
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
<a href="/en/project/GC21-13882J" target="_blank" >GC21-13882J: Hierarchical Planning: From Plan Verification to Plan Recognition</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
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 Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2022
ISBN
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ISSN
2334-0754
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
FLAIRS
Place of publication
USA
Event location
Florida USA
Event date
May 15, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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