On verification of workflow and planning domain models using attribute grammars
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372083" target="_blank" >RIV/00216208:11320/17:10372083 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-62434-1_28" target="_blank" >http://dx.doi.org/10.1007/978-3-319-62434-1_28</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-62434-1_28" target="_blank" >10.1007/978-3-319-62434-1_28</a>
Alternative languages
Result language
angličtina
Original language name
On verification of workflow and planning domain models using attribute grammars
Original language description
Recently, attribute grammars have been suggested as a unifying framework to describe workflow and planning domains models. One of the critical aspects of the domain model is its soundness, that is, the model should not contain any dead-ends and should describe at least one plan. In this paper we describe how the domain model can be verified by using the concept of reduction of attribute grammars. Two verification methods are suggested, one based on transformation to context-free grammars and one direct method exploiting constraint satisfaction.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
<a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Grigori Sidorov, Oscar Herrera-Alcántara: Advances in Computational Intelligence - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings, Part I
ISBN
978-3-319-62433-4
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
14
Pages from-to
332-345
Publisher name
Springer
Place of publication
Berlin
Event location
Cancún, Mexico
Event date
Oct 23, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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