On the Importance of Domain Model Configuration for Automated Planning Engines

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00352521" target="_blank" >RIV/68407700:21230/21:00352521 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/s10817-021-09592-1" target="_blank" >https://doi.org/10.1007/s10817-021-09592-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10817-021-09592-1" target="_blank" >10.1007/s10817-021-09592-1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On the Importance of Domain Model Configuration for Automated Planning Engines

Popis výsledku v původním jazyce

The development of domain-independent planners within the AI planning community is leading to "off-the-shelf" technology that can be used in a wide range of applications. Moreover, it allows a modular approach-in which planners and domain knowledge are modules of larger software applications-that facilitates substitutions or improvements of individual modules without changing the rest of the system. This approach also supports the use of reformulation and configuration techniques, which transform how a model is represented in order to improve the efficiency of plan generation. In this article, we investigate how the performance of domain-independent planners is affected by domain model configuration, i.e. the order in which elements are ordered in the model, particularly in the light of planner comparisons. We then introduce techniques for the online and offline configuration of domain models, and we analyse the impact of domain model configuration on other reformulation approaches, such as macros.

Název v anglickém jazyce

On the Importance of Domain Model Configuration for Automated Planning Engines

Popis výsledku anglicky

The development of domain-independent planners within the AI planning community is leading to "off-the-shelf" technology that can be used in a wide range of applications. Moreover, it allows a modular approach-in which planners and domain knowledge are modules of larger software applications-that facilitates substitutions or improvements of individual modules without changing the rest of the system. This approach also supports the use of reformulation and configuration techniques, which transform how a model is represented in order to improve the efficiency of plan generation. In this article, we investigate how the performance of domain-independent planners is affected by domain model configuration, i.e. the order in which elements are ordered in the model, particularly in the light of planner comparisons. We then introduce techniques for the online and offline configuration of domain models, and we analyse the impact of domain model configuration on other reformulation approaches, such as macros.

Druh

J_imp - Článek v periodiku v databázi Web of Science

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/GA18-07252S" target="_blank" >GA18-07252S: MoRePlan: Modelování a reformulace plánovacích problémů</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Journal of Automated Reasoning

ISSN

0168-7433

e-ISSN

1573-0670

Svazek periodika

65

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

47

Strana od-do

727-773

Kód UT WoS článku

000662113700001

EID výsledku v databázi Scopus

2-s2.0-85108165823