Examples of simulations that involve changes in rules, formulae and algorithms
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Modeling & Simulation[1]
Describe changes in rules, formulae and algorithms that would improve the correspondence between results and observed data.
Certainly, Mr. MacKenty. Here's a MediaWiki formatted outline that provides examples of simulations which involve changes in rules, formulae, and algorithms. This should be useful for illustrating the concept in your teaching materials:
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Examples of Simulations Involving Changes in Rules, Formulae, and Algorithms[edit]
Traffic Flow Simulation[edit]
- Description: Simulating traffic patterns in urban areas.
- Rule Changes: Altering traffic signal timings or road layouts.
- Formula Changes: Adjusting the parameters of the traffic flow models, like vehicle acceleration and deceleration rates.
- Algorithm Changes: Implementing different routing algorithms for vehicles to optimize flow.
Climate Change Simulation[edit]
- Description: Modeling climate patterns and predicting future climate changes.
- Rule Changes: Modifying assumptions about carbon emissions or deforestation rates.
- Formula Changes: Adjusting the equations governing atmospheric physics and ocean currents.
- Algorithm Changes: Using different predictive models to forecast long-term climate changes.
Stock Market Simulation[edit]
- Description: Simulating stock market dynamics and investor behavior.
- Rule Changes: Introducing new financial regulations or market mechanisms.
- Formula Changes: Changing the mathematical models for stock valuation or market volatility.
- Algorithm Changes: Implementing alternative investment strategies or machine learning models for trading.
Epidemic Modelling[edit]
- Description: Simulating the spread of infectious diseases.
- Rule Changes: Implementing different public health policies like social distancing or vaccination programs.
- Formula Changes: Adjusting the infection and recovery rates in the disease spread models.
- Algorithm Changes: Using different computational models to predict the spread, like agent-based models versus compartmental models.
Ecosystem Simulation[edit]
- Description: Modeling interactions within an ecosystem.
- Rule Changes: Introducing or removing species from the ecosystem.
- Formula Changes: Adjusting parameters like birth rates, death rates, or predation rates.
- Algorithm Changes: Implementing different models of population dynamics, such as Lotka-Volterra equations versus individual-based models.
Standards[edit]
- Construct examples of simulations that involve changes in rules, formulae and algorithms.