Modeling and Simulation - Module 1

<p>It has no exogenous activities. (A)</p> Signup and view all the answers

<p>Engagement poses risks or dangers. (B)</p> Signup and view all the answers

<p>Deterministic activities can be precisely described by their inputs. (A)</p> Signup and view all the answers

<p>Continuous system (C)</p> Signup and view all the answers

<p>Attributes (B)</p> Signup and view all the answers

<p>Development technologies (D)</p> Signup and view all the answers

<p>A process that randomly samples input values to understand output variability. (C)</p> Signup and view all the answers

<p>Analyze Phase (C)</p> Signup and view all the answers

<p>Representing data visually for easier understanding. (B)</p> Signup and view all the answers

<p>Understanding human cognition and perception. (D)</p> Signup and view all the answers

<p>System variables change continuously over time. (D)</p> Signup and view all the answers

<p>Simulation processes are often costly. (C)</p> Signup and view all the answers

<p>Analysis and Operations Research (B)</p> Signup and view all the answers

<p>Time (C)</p> Signup and view all the answers

<p>System variables are discrete functions of time. (D)</p> Signup and view all the answers

<p>The model behaves similarly to real systems. (C)</p> Signup and view all the answers

<p>Finite Element Modeling (FEM) (B)</p> Signup and view all the answers

<p>The detail level of the simulated real world. (B)</p> Signup and view all the answers

<p>Models based on existing data describing aspects of a subject. (D)</p> Signup and view all the answers

<p>Agent-Based Modeling (ABM) (B)</p> Signup and view all the answers

<p>The overall scenario size represented by the simulation. (C)</p> Signup and view all the answers

<p>A physical or logical representation of a phenomenon or process. (B)</p> Signup and view all the answers

<p>Techniques for enhancing aesthetic qualities. (D)</p> Signup and view all the answers

<p>To study the performance of a system using a model (A)</p> Signup and view all the answers

<p>It describes behavior using mathematical or symbolic models. (A)</p> Signup and view all the answers

<p>Creation of the Monte Carlo method (C)</p> Signup and view all the answers

<p>Analytic solutions provide exact results while simulation involves approximations. (D)</p> Signup and view all the answers

<p>Notional Model (C)</p> Signup and view all the answers

<p>Dynamic, stochastic, and discrete (D)</p> Signup and view all the answers

<p>Natural vs. artificial (B)</p> Signup and view all the answers

<p>Physical models. (D)</p> Signup and view all the answers

<p>Developing and simulating models to gather system performance data. (A)</p> Signup and view all the answers

<p>Evaluating military weapons systems (D)</p> Signup and view all the answers

<p>Hybrid Simulation (B)</p> Signup and view all the answers

<p>It is essential for understanding system dynamics. (A)</p> Signup and view all the answers

<p>1980s (D)</p> Signup and view all the answers

<p>When models are simple and easily understood (A)</p> Signup and view all the answers

<p>It combines multiple modeling paradigms. (C)</p> Signup and view all the answers

<p>Live Simulation (D)</p> Signup and view all the answers

<p>To produce learning in the user. (B)</p> Signup and view all the answers

<p>Virtual Simulation (C)</p> Signup and view all the answers

<p>Experimentation Applications (C)</p> Signup and view all the answers

<p>Constructive Simulation (C)</p> Signup and view all the answers

<p>Producing learning outcomes. (A)</p> Signup and view all the answers

<p>Genetic Algorithms (C)</p> Signup and view all the answers

A representation of a system, process, or phenomenon, which can be physical, mathematical, or logical. It can depict real-world occurrences or hypothetical scenarios.

The process of creating a model of a system to study its behavior and performance.

Models can be broadly categorized as physical or notional.

A method to describe system behavior using a model, often mathematical, to imitate real-world processes over time.

The overall technique of creating a system model, simulating it, and utilizing the results to understand or improve the system's behavior.

Models can be physical (e.g., scale airplane), mathematical (e.g., equations), or logical (e.g., flowcharts).

Systems can be studied by comparing the actual system to its model, considering different representations, and using analytical or simulation solutions.

Modelers focus on quantifying system behavior, designing systems, and evaluating performance via measurements.

An object of interest in a system.

A property of an entity.

Processes causing changes within the system.

All entities, attributes, and activities at a specific time.

A system with outside influences (exogenous activities).

A system without outside influences (no exogenous activities).

The area where changes outside a system occur.

The process of using a model to study the performance of a system over time. It involves creating a simplified representation of the real system and then using it to predict how the system will behave.

Simulation models can be classified based on various characteristics: static vs dynamic, deterministic vs stochastic, and continuous vs discrete.

A simulation model that focuses on events happening at specific points in time. It's often used to study complex systems where events occur in discrete steps.

Simulation is widely used in designing and analyzing various systems, such as manufacturing, military, communication networks, transportation systems, and business processes.

Simulation is particularly useful for studying systems too complex to analyze using traditional mathematical methods.

Analytical methods are used for simple systems that can be modeled with equations, while simulation is used for complex systems that are difficult to model analytically.

A type of simulation that combines different modeling techniques, such as using both physical and computer models.

A type of simulation that runs at the same speed as the real system, allowing for real-time interactions and analysis.

Combining different modeling approaches to represent a system more comprehensively.

Using real people and systems to mimic real-world scenarios.

Using simulations to recreate a realistic environment for users.

Simulating people making decisions and interacting within a simulated environment.

Using simulations to teach or train users on a specific topic or skill.

Using simulations to study and understand the behavior of a system.

Using simulations to explore different design possibilities and solutions.

A constructive combat model used by the US military to train doctrine and rules of engagement.

The process of creating and running simulations is often expensive due to the resources required, such as software, hardware, expertise, and data.

The process of developing a simulation involves several phases, including modeling, coding, execution, and analysis. Each phase utilizes specific technologies to achieve the desired outcomes.

The first phase of simulation development where the system is represented using appropriate modeling techniques, such as mathematical equations or logical diagrams.

The phase where the model is translated into a computer program using suitable programming languages and development tools, allowing the model to be executed on a computer.

The phase where the computer code is executed, running the simulation and generating data that reflects the behavior of the system.

The final phase where the data generated by the simulation is analyzed and interpreted to draw meaningful conclusions about the system's behavior. Techniques such as statistics, operations research, and visualization are used.

A simulation technique that uses random sampling to estimate the distribution of a variable of interest, by repeatedly generating random inputs and calculating the corresponding outputs.

A simulation where the system variables change continuously over time, represented by mathematical functions, typically used for systems with continuous processes such as fluid flow or chemical reactions.

A model that closely replicates reality, capturing all important details. It's like a detailed architect's blueprint of a building.

A simplified model that captures essential features, neglecting less critical aspects. It's like a rough sketch of a building.

Provides a detailed representation of the system, like a magnified view. It's like zooming in on a map to see individual houses.

Creating models based on fundamental physical laws, like Newton's Laws of Motion. It's like using math to predict the path of a ball thrown in the air.

Using data to construct a model when real-world information is unavailable. It's like using historical weather data to predict future rainfall.

Modeling systems by simulating individual agents and their interactions, such as consumers buying products. It's like simulating a crowded market with many shoppers.