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[[Physical]] simulation refers to simulation in which physical objects are substituted for the real thing. These physical objects are often chosen because they are smaller or cheaper than the actual object or system.
 
[[Physical]] simulation refers to simulation in which physical objects are substituted for the real thing. These physical objects are often chosen because they are smaller or cheaper than the actual object or system.
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Interactive simulation is a special kind of physical simulation, often referred to as a [[human]] in the loop simulation, in which physical simulations include human operators, such as in a flight simulator or a [http://en.wikipedia.org/wiki/Driving_simulator driving simulator].
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Interactive simulation is a special kind of physical simulation, often referred to as a [[human]] in the loop simulation, in which physical simulations include human operators, such as in a flight simulator or a [https://en.wikipedia.org/wiki/Driving_simulator driving simulator].
    
Human in the loop simulations can include a computer simulation as a so-called synthetic environment.[3]
 
Human in the loop simulations can include a computer simulation as a so-called synthetic environment.[3]
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A computer simulation (or "sim") is an attempt to [[model]] a real-life or hypothetical situation on a computer so that it can be studied to see how the [[system]] [[works]]. By changing variables, [[prediction]]s may be made about the [[behavior]] of the system.[1]
 
A computer simulation (or "sim") is an attempt to [[model]] a real-life or hypothetical situation on a computer so that it can be studied to see how the [[system]] [[works]]. By changing variables, [[prediction]]s may be made about the [[behavior]] of the system.[1]
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Computer simulation has become a useful part of modeling many natural systems in [[physics]], [[chemistry]] and [[biology]][4], and human systems in [[economics]] and [[social science]] (the computational sociology) as well as in engineering to gain [[insight]] into the operation of those systems. A good example of the usefulness of using computers to simulate can be found in the field of [http://en.wikipedia.org/wiki/Network_traffic_simulation network traffic simulation]. In such simulations, the model behaviour will change each simulation according to the set of initial parameters assumed for the environment.
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Computer simulation has become a useful part of modeling many natural systems in [[physics]], [[chemistry]] and [[biology]][4], and human systems in [[economics]] and [[social science]] (the computational sociology) as well as in engineering to gain [[insight]] into the operation of those systems. A good example of the usefulness of using computers to simulate can be found in the field of [https://en.wikipedia.org/wiki/Network_traffic_simulation network traffic simulation]. In such simulations, the model behaviour will change each simulation according to the set of initial parameters assumed for the environment.
    
Traditionally, the [[formal]] modeling of systems has been via a [[mathematical model]], which attempts to find [[analytical]] solutions enabling the [[prediction]] of the behaviour of the system from a set of parameters and initial conditions. Computer simulation is often used as an adjunct to, or substitution for, modeling systems for which simple closed form analytic solutions are not possible. There are many different types of computer simulation, the common feature they all share is the attempt to generate a sample of representative scenarios for a model in which a complete enumeration of all possible states would be prohibitive or impossible.
 
Traditionally, the [[formal]] modeling of systems has been via a [[mathematical model]], which attempts to find [[analytical]] solutions enabling the [[prediction]] of the behaviour of the system from a set of parameters and initial conditions. Computer simulation is often used as an adjunct to, or substitution for, modeling systems for which simple closed form analytic solutions are not possible. There are many different types of computer simulation, the common feature they all share is the attempt to generate a sample of representative scenarios for a model in which a complete enumeration of all possible states would be prohibitive or impossible.
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Several software packages exist for running computer-based simulation modeling (e.g. [http://en.wikipedia.org/wiki/Monte_Carlo_method Monte Carlo] simulation, [http://en.wikipedia.org/wiki/Stochastic stochastic modeling], multimethod modeling AnyLogic) that makes the modeling almost effortless.[http://en.wikipedia.org/wiki/Simulation]
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Several software packages exist for running computer-based simulation modeling (e.g. [https://en.wikipedia.org/wiki/Monte_Carlo_method Monte Carlo] simulation, [https://en.wikipedia.org/wiki/Stochastic stochastic modeling], multimethod modeling AnyLogic) that makes the modeling almost effortless.[https://en.wikipedia.org/wiki/Simulation]
    
[[Category: Computer Science]]
 
[[Category: Computer Science]]