Descriptive Modeling of the Dynamical Systems and Determination of Feedback Homeostasis at Different Levels of Life Organization

Autor: E. V. Vysotskaya, K. V. Nosov, Yu. G. Bespalov, Larisa Rak, Grygoriy Zholtkevych, Mahalakshmi Abhishek
Rok vydání: 2016
Předmět:
0106 biological sciences
0301 basic medicine
Theoretical computer science
Dynamical systems theory
Adolescent
Heart Diseases
Stochastic modelling
Ecology (disciplines)
Normal Distribution
Dynamical system
010603 evolutionary biology
01 natural sciences
Models
Biological
General Biochemistry
Genetics and Molecular Biology
Zooplankton
03 medical and health sciences
Life
Species Specificity
Animals
Homeostasis
Humans
Biomass
General Environmental Science
Probability
Mathematical and theoretical biology
Stochastic Processes
Models
Statistical
Markov chain
Ecology
Applied Mathematics
Systems Biology
Models
Cardiovascular
Heart
General Medicine
Armenia
Eutrophication
Markov Chains
Philosophy
Philosophy of biology
030104 developmental biology
Massachusetts
Pairwise comparison
General Agricultural and Biological Sciences
Algorithms
Zdroj: Acta biotheoretica. 66(3)
ISSN: 1572-8358
Popis: The state-of-art research in the field of life’s organization confronts the need to investigate a number of interacting components, their properties and conditions of sustainable behaviour within a natural system. In biology, ecology and life sciences, the performance of such stable system is usually related to homeostasis, a property of the system to actively regulate its state within a certain allowable limits. In our previous work, we proposed a deterministic model for systems’ homeostasis. The model was based on dynamical system’s theory and pairwise relationships of competition, amensalism and antagonism taken from theoretical biology and ecology. However, the present paper proposes a different dimension to our previous results based on the same model. In this paper, we introduce the influence of inter-component relationships in a system, wherein the impact is characterized by direction (neutral, positive, or negative) as well as its (absolute) value, or strength. This makes the model stochastic which, in our opinion, is more consistent with real-world elements affected by various random factors. The case study includes two examples from areas of hydrobiology and medicine. The models acquired for these cases enabled us to propose a convincing explanation for corresponding phenomena identified by different types of natural systems.
Databáze: OpenAIRE
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