The impact of complexity theory and chaos theory

Author(s):  
Keith Morrison
Author(s):  
Fathimath Saeed

Chaos and complexity theory has been used in the study of the natural sciences for over thirty years. Throughout the years, experts from various fields have used it as a new way to view the world around them, including its applications to the field of education and subsystems within the education system. However very few studies have been conducted on the application of chaos theory to classroom discipline. The field of classroom discipline, like the natural world, can also be observed from this perspective because it exhibits many features of chaotic/complex systems. Classrooms are often described as complex, dynamic and unpredictable environments. This makes it difficult for teachers to understand and manage classroom discipline. This paper explores the complexity of classroom discipline and how the principles of chaos and complexity theory reflect on classroom discipline. This would help inform management strategies and alternatives that would in turn enhance and improve student academic achievement and overall performance.


2020 ◽  
Vol 9 (1) ◽  
pp. 44
Author(s):  
Franklin M. Lartey

Organizations in the 21st century deal with constant changes such as globalization, technological evolutions, regulatory changes, competition, and other unexpected events, among others. These challenges can be viewed and addressed through the lenses of contemporary theories. This paper selected three contemporary theories namely chaos, complexity, and contingency theories, and presented their foundations and characteristics by comparing and contrasting their key concepts. These concepts include nonlinearity, feedback, bifurcation, strange attractors, fractals, and self-organization for chaos theory; nonlinearity, dynamism, feedback, self-organization, emergence, and adaptability for complexity theory; and adaptation, equifinality, effectiveness, and congruency for contingency theory. Examples of studies and organizational applications of these theories were provided, and implications for scholars and organizational leaders were discussed. By explaining notions such as how the capacity of a system could be greater than the sum of the capacities of its subunits, this paper can act as a starting point for anyone seeking to understand the three theories or use them for research or organizational purpose.


2001 ◽  
Vol 11 (04) ◽  
pp. 881-902 ◽  
Author(s):  
A. A. TSONIS

In this review some of the achievements in atmospheric sciences that resulted from chaos theory and its implications are discussed. They include El Niño dynamics, physics and spatiotemporal dynamics of the general circulation, and ensemble forecasting.


Author(s):  
Miguel Hueso ◽  
Josep M Cruzado ◽  
Joan Torras ◽  
Estanis Navarro

Atherosclerosis (ATH) and Coronary Artery Disease (CAD) are chronic inflammatory diseases with an important genetic background which derive from the cumulative effect of multiple common risk alleles, most of them located in genomic non-coding regions. These complex diseases behave as non-linear dynamical systems that show a high dependence on their initial conditions, so that long-term predictions of disease progression are unreliable. One likely possibility is that the non-linear nature of ATH could be dependent on non-linear correlations in the structure of the human genome. In this review we show how Chaos theory analysis highlighted genomic regions that shared specific structural constraints that could have a role in ATH progression. These regions were shown to be enriched in repetitive sequences of the Alu family, genomic parasites which colonized the human genome, which show a particular secondary structure and have been involved in the regulation of gene expression. We also review the impact of Alu elements on the mechanisms that regulate gene expression, especially highlighting the molecular mechanisms by which the Alu elements could alter the inflammatory homeostasis. We devise especial attention to their relationship with the lncRNA ANRIL, the strongest risk factor for ATH, their role as miRNA sponges, and their ability to interfere with the regulatory circuitry of the NF-kB response. We aim to characterize ATH as a non-linear dynamic system in which small initial alterations in the expression of a number of repetitive elements are somehow amplified to reach phenotypic significance.


Author(s):  
Keith Warren

Chaos theory and complexity theory, collectively known as nonlinear dynamics or dynamical systems theory, provide a mathematical framework for thinking about change over time. Chaos theory seeks an understanding of simple systems that may change in a sudden, unexpected, or irregular way. Complexity theory focuses on complex systems involving numerous interacting parts, which often give rise to unexpected order. The framework that encompasses both theories is one of nonlinear interactions between variables that give rise to outcomes that are not easily predictable. This entry provides a nonmathematical introduction, discussion of current research, and references for further reading.


2011 ◽  
Vol 4 (3) ◽  
pp. 61-71
Author(s):  
Antonio Cuadrado-Fernandez

200 years of industrial capitalism, and 500 years of colonialism, have caused the worst human and environmental crisis in the history of human kind. Rapid and unprecedented depletion of natura resources, global warming, the exploitation of human beings, the global economic crises, and the military might needed to enforce the free flow of capital, al these call for a common, emancipatory articulation of local struggles. However, the creation of a larger empowering discourse requires the formation of a cognitive mapping whereby different local struggles can identify and map the structural source of their oppression. In this paper I argue that recent approaches to globalisation from the perspective of complexity theory and recent developments in cognitive linguistics and poetics, can help to construct a cognitive mapping of contemporary postcolonial poetry that enables us to scrutinise the impact of global capitalism on the loca context. Complexity theory and cognitive theories regard language as rooted in human perception of a complex and dynamic environment. Cognitive mapping articulates the reader's bodily experience to the writer's embodied conceptualisations of the effects of global capitalism on their land. In this way modernity can be redefined in more democratic terms that incorporate the voice of the marginalised and the oppressed.


Author(s):  
Narjès Bellamine-BenSaoud ◽  
Fatima Rateb

In this chapter, we investigate how complexity theory and more particularly how agent-based modeling and simulation can benefit the explanation of the impact of education on malaria health care in Haiti. Our model includes: (1) the environment, encompassing mainly cities, roads, hospitals and schools; (2) the agents, modeling the human actors, who can be safe or infected by malaria disease according to their location in the environment; and (3) a modelled agent can also be mobile or not, can reproduce, and can die. We run four kinds of experiments over a 50-year period each. Our main emerging results are growing total agent, susceptible, and immune populations in a “cyclic” fluctuation form. Furthermore, we confirm the positive impact of both education and hospitals in combating malaria disease.


2013 ◽  
Vol 13 (2) ◽  
pp. 549-576
Author(s):  
Ronaldo Mangueira Lima Júnior

This paper aims at situating the representation and investigation of second language phonology acquisition in light of complexity theory. The first section presents a brief historical panorama of complexity and chaos theory on second language acquisition, followed by the possible phonological representations and analyses aligned with such perspective. Finally, the issue of second language phonology acquisition is revisited.


2019 ◽  
Vol 30 (2) ◽  
pp. 174-185
Author(s):  
JoAnn S. Lee ◽  
Michael Wolf-Branigin

Objectives: Using agent-based modeling (ABM) within a complexity theory framework provides an alternative and promising method for significantly advancing the study of social good. Complexity theory is a systems approach based on the idea that aggregate patterns arise from the interactions of agents and their environments. Such systems operate according to a set of simple rules, and patterns emerge from these simple interactions that sometimes cannot be predicted by examining those interactions alone. ABM is a computational approach that simulates the interactions of autonomous agents with each other and their environments (social and/or physical). Methods: We adapted the Rebellion model from the NetLogo software library to demonstrate the potential of this approach to measure social good. Specifically, we examine the impact of variables related to juvenile justice involvement on the converse of social good, social exclusion, which in this model was conceptualized as the lack of educational attainment among youth at risk of juvenile justice involvement. After designing our ABM, we ran a total of 2400 simulations where we systematically varied key variables, including arrest risk and maximum sentence. Results: We report the descriptive statistics from our simulations for key output variables in the ABM, including percent socially excluded and average accumulated jail time, and demonstrate the usefulness of this method by identifying nonlinear, bivariate associations across the simulations. Conclusion: Our model demonstrates the usefulness of an innovative methodological approach, complexity theory, coupled with an innovative technology, ABM, in developing policies and programs that will maximize social good.


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