Title :
Summarizing the behaviour of complex dynamic systems
Author :
Kvassay, Miroslav ; Hluchy, Ladislav ; Schneider, B.
Author_Institution :
Inst. of Inf., Bratislava, Slovakia
Abstract :
This paper outlines a general method for summarizing the behaviour of complex dynamic systems inspired by Bayesian causal analysis. The method is universally applicable and often permits to cut the backward causal loops through which the analyzed variables seem to co-determine themselves due to the nonlinearity of the equations describing complex systems.
Keywords :
Bayes methods; behavioural sciences; large-scale systems; Bayesian causal analysis; backward causal loops; complex dynamic systems; general method; human behaviour summarization; Analytical models; Equations; Informatics; Iron; Mathematical model; Partitioning algorithms; Vectors;
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2013 IEEE 11th International Symposium on
Conference_Location :
Herl´any
Print_ISBN :
978-1-4673-5928-3
Electronic_ISBN :
978-1-4673-5927-6
DOI :
10.1109/SAMI.2013.6480975
