Inner entanglements: Narrowing the search in classical planning by problem reformulation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10408238" target="_blank" >RIV/00216208:11320/19:10408238 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/19:00334343
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=prXvsY__oC" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=prXvsY__oC</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/coin.12203" target="_blank" >10.1111/coin.12203</a>
Alternative languages
Result language
angličtina
Original language name
Inner entanglements: Narrowing the search in classical planning by problem reformulation
Original language description
In the field of automated planning, the central research focus is on domain-independent planning engines that accept planning tasks (domain models and problem descriptions) in a description language, such as Planning Domain Definition Language, and return solution plans. The performance of planning engines can be improved by gathering additional knowledge about specific planning domain models/tasks (such as control rules) that can narrow the search for a solution plan. Such knowledge is often learned from training plans and solutions of simple tasks. Using techniques to reformulate the given planning task to incorporate additional knowledge, while keeping to the same input language, allows to exploit off-the-shelf planning engines. In this paper, we present inner entanglements that are relations between pairs of operators and predicates that represent the exclusivity of predicate achievement or requirement between the given operators. Inner entanglements can be encoded into a planner's input language by transforming the original planning task; hence, planning engines can exploit them. The contribution of this paper is to provide an in-depth analysis and evaluation of inner entanglements, covering theoretical aspects such as complexity results, and an extensive empirical study using International Planning Competition benchmarks and state-of-the-art planning engines.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50803 - Information science (social aspects)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computational Intelligence
ISSN
0824-7935
e-ISSN
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Volume of the periodical
35
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
35
Pages from-to
395-429
UT code for WoS article
000466182600006
EID of the result in the Scopus database
2-s2.0-85063265042