Towards AI Planning Efficiency: Finite-domain State Variable Reformulation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10195083" target="_blank" >RIV/00216208:11320/13:10195083 - isvavai.cz</a>
Result on the web
<a href="http://www.aaai.org/ocs/index.php/SARA/SARA13/paper/view/7257/6277" target="_blank" >http://www.aaai.org/ocs/index.php/SARA/SARA13/paper/view/7257/6277</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Towards AI Planning Efficiency: Finite-domain State Variable Reformulation
Original language description
In paper we propose novel method for automatically generating an efficient state-variable representation from the propositional representatation for planning domain.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP103%2F10%2F1287" target="_blank" >GAP103/10/1287: PlanEx: Bridging Planning and Execution</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
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 Tenth Symposium on Abstraction, Reformulation, and Approximation, SARA 2013
ISBN
978-1-57735-630-1
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
50-56
Publisher name
AAAI Press
Place of publication
California, USA
Event location
Leavenworth, Washington, USA
Event date
Jun 11, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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