Modeling of Complex Systems by Means of Partial Algebras

Complex systems are very hard to describe by some unified language and calculus. In cases when their nature is very heterogeneous is possible to use with advantage state description. Formalization of operations on the set of states usually leads to partial algebras. The work with partial algebras is...

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Main Authors: Jiri Bila, Ricardo Jorge Rodríguez, Martin Novak
Format: Article
Language:English
Published: Brno University of Technology 2019-06-01
Series:Mendel
Subjects:
Online Access:https://mendel-journal.org/index.php/mendel/article/view/86
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author Jiri Bila
Ricardo Jorge Rodríguez
Martin Novak
author_facet Jiri Bila
Ricardo Jorge Rodríguez
Martin Novak
author_sort Jiri Bila
collection DOAJ
description Complex systems are very hard to describe by some unified language and calculus. In cases when their nature is very heterogeneous is possible to use with advantage state description. Formalization of operations on the set of states usually leads to partial algebras. The work with partial algebras is rather difficult and unpractical. From this reason some methods approximating partial algebras by some more symmetrical objects are searched for.  In this paper there is proposed an approximation of this algebras by free cyclic groups. Then using the combination of Matroid Theory and Ramsey theory of graph the prediction of a possible appearance of emergent situation is executed. Data and knowledge used in the paper for the demonstration of developed method application are from the field of Ecology.
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spelling doaj.art-e529edf62dc1437d95bf8bd8daa1a4a12022-12-21T20:11:51ZengBrno University of TechnologyMendel1803-38142571-37012019-06-0125110.13164/mendel.2019.1.10386Modeling of Complex Systems by Means of Partial AlgebrasJiri Bila0Ricardo Jorge Rodríguez1Martin Novak2Institute of Instrumentation and Control Engineering, Czech Technical University in Prague, Czech RepublicDepartment of Mechatronics, Technological University of Ciudad Juarez, MexicoInstitute of Instrumentation and Control Engineering, Czech Technical University in Prague, Czech RepublicComplex systems are very hard to describe by some unified language and calculus. In cases when their nature is very heterogeneous is possible to use with advantage state description. Formalization of operations on the set of states usually leads to partial algebras. The work with partial algebras is rather difficult and unpractical. From this reason some methods approximating partial algebras by some more symmetrical objects are searched for.  In this paper there is proposed an approximation of this algebras by free cyclic groups. Then using the combination of Matroid Theory and Ramsey theory of graph the prediction of a possible appearance of emergent situation is executed. Data and knowledge used in the paper for the demonstration of developed method application are from the field of Ecology.https://mendel-journal.org/index.php/mendel/article/view/86partial algebrascyclic groupsqualitative distancematroidmatroid basesprediction of emergent situation on complex system
spellingShingle Jiri Bila
Ricardo Jorge Rodríguez
Martin Novak
Modeling of Complex Systems by Means of Partial Algebras
Mendel
partial algebras
cyclic groups
qualitative distance
matroid
matroid bases
prediction of emergent situation on complex system
title Modeling of Complex Systems by Means of Partial Algebras
title_full Modeling of Complex Systems by Means of Partial Algebras
title_fullStr Modeling of Complex Systems by Means of Partial Algebras
title_full_unstemmed Modeling of Complex Systems by Means of Partial Algebras
title_short Modeling of Complex Systems by Means of Partial Algebras
title_sort modeling of complex systems by means of partial algebras
topic partial algebras
cyclic groups
qualitative distance
matroid
matroid bases
prediction of emergent situation on complex system
url https://mendel-journal.org/index.php/mendel/article/view/86
work_keys_str_mv AT jiribila modelingofcomplexsystemsbymeansofpartialalgebras
AT ricardojorgerodriguez modelingofcomplexsystemsbymeansofpartialalgebras
AT martinnovak modelingofcomplexsystemsbymeansofpartialalgebras