Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning (Extended Abstract)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F23%3A00369488" target="_blank" >RIV/68407700:21730/23:00369488 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICDE55515.2023.00366" target="_blank" >http://dx.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>

Jazyk výsledku

angličtina

Název v původním jazyce

Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning (Extended Abstract)

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 (Extended Abstract)

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EF15_003%2F0000470" target="_blank" >EF15_003/0000470: Robotika pro Průmysl 4.0</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of IEEE International Conference on Data Engineering, ICDE 2023

ISBN

979-8-3503-2227-9

ISSN

—

e-ISSN

—

Počet stran výsledku

2

Strana od-do

3879-3880

Název nakladatele

IEEE Computer Society

Místo vydání

Cannes

Místo konání akce

Anaheim

Datum konání akce

3. 4. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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