On Modeling Planning Problems: Experience From The Petrobras Challenge
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10195090" target="_blank" >RIV/00216208:11320/13:10195090 - isvavai.cz</a>
Výsledek na webu
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-45111-9_40#page-1" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-45111-9_40#page-1</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
On Modeling Planning Problems: Experience From The Petrobras Challenge
Popis výsledku v původním jazyce
The International Planning Competitions have led to development of a standard modeling framework for describing planning domains and problems - Planning Domain Description Language (PDDL). The majority of planning research is done around problems modeledin PDDL though there are only a few applications adopting PDDL. The planning model of independent actions connected only via causal relations is very flexible, but it also makes plans less predictable (plans look different than expected by the users) and it is probably also one of the reasons of bad practical efficiency of current planners ("visibly" wrong plans are blindly explored by the planners). In this paper we argue that grouping actions into flexible sub-plans is a way to overcome the efficiency problems. The idea is that instead of seeing actions as independent entities that are causally connected via preconditions and effects, we suggest using a form of finite state automaton (FSA) to describe the expected sequences of action
Název v anglickém jazyce
On Modeling Planning Problems: Experience From The Petrobras Challenge
Popis výsledku anglicky
The International Planning Competitions have led to development of a standard modeling framework for describing planning domains and problems - Planning Domain Description Language (PDDL). The majority of planning research is done around problems modeledin PDDL though there are only a few applications adopting PDDL. The planning model of independent actions connected only via causal relations is very flexible, but it also makes plans less predictable (plans look different than expected by the users) and it is probably also one of the reasons of bad practical efficiency of current planners ("visibly" wrong plans are blindly explored by the planners). In this paper we argue that grouping actions into flexible sub-plans is a way to overcome the efficiency problems. The idea is that instead of seeing actions as independent entities that are causally connected via preconditions and effects, we suggest using a form of finite state automaton (FSA) to describe the expected sequences of action
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
JC - Počítačový hardware a software
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/GAP202%2F10%2F1188" target="_blank" >GAP202/10/1188: KnowSched: Znalostní techniky v rozvrhování</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 12th Mexican International Conference on Artificial Intelligence (MICAI 2013), Part II
ISBN
978-3-642-45110-2
ISSN
0302-9743
e-ISSN
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Počet stran výsledku
12
Strana od-do
466-477
Název nakladatele
Springer
Místo vydání
Heidelberg, Germany
Místo konání akce
Mexico City, Mexico
Datum konání akce
24. 9. 2013
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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