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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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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)

Project

<a href="/en/project/EF15_003%2F0000470" target="_blank" >EF15_003/0000470: Robotics 4 Industry 4.0</a><br>

Continuities

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

Publication year

2023

Confidentiality

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

Article name in the collection

Proceedings of IEEE International Conference on Data Engineering, ICDE 2023

ISBN

979-8-3503-2227-9

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

3879-3880

Publisher name

IEEE Computer Society

Place of publication

Cannes

Event location

Anaheim

Event date

Apr 3, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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