Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10477500" target="_blank" >RIV/00216208:11320/23:10477500 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1109/ICDE55515.2023.00366" target="_blank" >https://doi.org/10.1109/ICDE55515.2023.00366</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICDE55515.2023.00366" target="_blank" >10.1109/ICDE55515.2023.00366</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning
Popis výsledku v původním jazyce
This extended abstract from the area of automated planning discusses work on Attributed Transition-Based Domain Control Knowledge (ATB-DCK). ATB-DCK, roughly speaking, represents the "grammar" of solution plans that guides the search. ATB-DCK is expressed by a finite state automaton with attributed states, referring to specific states of objects, connected by transitions imposing constraints on action applicability. This representation stays on side of the planning domain model, but it can be compiled into a classical planning task and thus it complements domain-independent planning techniques. Results on several benchmark domains from the International Planning Competitions show that the use of ATB-DCK often considerably improves efficiency of existing state-of-the-art planning engines.
Název v anglickém jazyce
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning
Popis výsledku anglicky
This extended abstract from the area of automated planning discusses work on Attributed Transition-Based Domain Control Knowledge (ATB-DCK). ATB-DCK, roughly speaking, represents the "grammar" of solution plans that guides the search. ATB-DCK is expressed by a finite state automaton with attributed states, referring to specific states of objects, connected by transitions imposing constraints on action applicability. This representation stays on side of the planning domain model, but it can be compiled into a classical planning task and thus it complements domain-independent planning techniques. Results on several benchmark domains from the International Planning Competitions show that the use of ATB-DCK often considerably improves efficiency of existing state-of-the-art planning engines.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů