پاورپوينت Dynamic Systems Theory

It’s part of an old saying, emphasizing the importance of details.
The nail mentioned is one that holds the shoe on a horse, and “for want of” means the nail was lacking or missing.

The message is universal
tiny little happenings can lead step by step,to history changing events.the quip that a butterfly flapping its wings in the amazon could through a progression of events,cause a hurricane in hawaii.

How Dynamic Systems Theory Works
studies how systems evolve over time and adapt to changes in their environment.

Are open and dynamic
Example: An ecosystem of a forest

Forests are open and dynamic systems because energy, nutrients, and various species flow through their boundaries. For instance, sunlight, rain, nutrients from the soil, and new organisms entering the forest all influence the system.

Manifest disequilibrium
Example: Financial markets
Prices in financial markets are typically unstable and can change rapidly. Even small news and unexpected events can cause significant fluctuations in stock prices.

Are adaptive to change within multiple contexts
Example” Human cultures
Cultures have the ability to adapt to various social, economic, and environmental changes. For instance, agricultural communities have adapted their farming methods in response to climate changes and environmental conditions.

Have elements that interact with each other in nonlinear patterns:
Example: Language learning.
Learning a language is a nonlinear process where various factors such as motivation, interaction with native speakers, and practice all interact, and progress is not linear or uniform.

In Second Language Acquisition (SLA):
DST helps researchers understand how learners progress through stages of language development. By considering various factors such as exposure, practice, motivation, and cognitive processes, DST provides insighats into the complex, non-linear nature of language learning. This approach helps educators design better learning strategies that adapt to individual needs and contexts.

Exhibit unexpected occurrences
Example: Weather
A weather system can show unexpected changes. For instance, even with advanced prediction models, storms and sudden changes in temperature can sometimes occur unexpectedly.

In weather forecasting, DST helps meteorologists understand and predict changes in weather patterns. By analyzing vast amounts of data from satellites, weather stations, and historical records, they can model the atmosphere's dynamic behavior. For instance, this theory helps predict the development and path of hurricanes by considering numerous interacting factors like temperature, pressure, and wind patterns.

These examples demonstrate how Dynamic Systems Theory can be applied in the real world and help in understanding complex systems better.

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