Open AccessAnalysis of the determinism of time-series extracted from social and biological systems
Author(s) -
Luigi,
Mattia,
Валентина,
Angelo,
Sajid Ali,
- Rashid
Publication year - 2010
Publication title -
iraqi journal for electrical and electronic engineering/al-maǧallaẗ al-ʻirāqiyyaẗ al-handasaẗ al-kahrabāʼiyyaẗ wa-al-ilikttrūniyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2078-6069
pISSN - 1814-5892
DOI - 10.37917/ijeee.6.2.15
Subject(s) - determinism , series (stratigraphy) , computer science , complex system , biological data , time series , social system , systems biology , artificial intelligence , machine learning , biology , bioinformatics , epistemology , paleontology , philosophy
Self-organizing systems arise in many different fields. In this work we analyze data from social and biological systems. A central question is to demonstrate the presence of the determinism in time-series extracted from such systems that appear apparently not correlated but that are two good benchmarks for the study of complexity in real systems. We will apply the Kaplan test and we will define an order parameter for the biological data to characterize the complexity of the system.