Modeling is the process of creating a simplified representation of a system or phenomenon to understand, predict, or control its behavior. It involves abstraction and approximation to capture essential features while ignoring irrelevant details, often using mathematical, statistical, or computational techniques.

Modeling

simplified representation

system

A phenomenon is an observable event or occurrence that can be perceived through the senses or scientific instruments, often prompting investigation or analysis. It serves as a foundation for scientific inquiry and theoretical development, helping to explain or predict natural or social behaviors.

phenomenon

Understand behavior

Predict behavior

Control Behavior

Abstraction is the process of simplifying complex systems by focusing on the high-level overview and hiding the intricate details, allowing for easier understanding and manipulation. It is a fundamental principle in computer science and software engineering, enabling developers to manage complexity and enhance code reusability.

abstraction

Approximation is the process of finding a value or solution that is close to, but not exactly, the true value or solution, often to make complex problems more tractable or to enable computation. It is a fundamental tool in mathematics, science, and engineering, where exact solutions are difficult or impossible to obtain due to limitations in measurement or computation.

approximation

essential features

irrelevant details

Mathematical Techniques

Statistical techniques are mathematical tools used for collecting, analyzing, interpreting, and presenting data. They enable researchers to identify patterns, test hypotheses, and make informed decisions based on empirical data.

Statistical Techniques

computational techniques

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Principles of Behavioral Change

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Types of Data in Simulation

Simulation Modeling

Computer Simulation

abstractions

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Vertex Processing

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Relevant Degrees

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