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Discrete Event Simulation is a simulation where time evolves along events that represent critical moments, while the values of the variables are not relevant between two of them or result trivial to be computed in case of necessity Stochastic Simulation is a simulation where some variable or process is regulated by stochastic factors and estimated based on Monte Carlo techniques using pseudo-random numbers, so replicated runs from same boundary conditions are expected to produce different results within a specific confidence band Deterministic Simulation is a simulation where the variable are regulated by deterministic algorithms, so replicated runs from same boundary conditions produce always identical results.
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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.
Simulation is also used when the real system cannot be engaged, because it may not be accessible, or it may be dangerous or unacceptable to engage, or it is being designed but not yet built, or it may simply not exist.
Key issues in simulation include acquisition of valid source information about the relevant selection of key characteristics and behaviours, the use of simplifying approximations and assumptions within the simulation, and fidelity and validity of the simulation outcomes.
and human systems in economics and social science (e.g., 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 network traffic simulation.Modern usage of the term "computer simulation" may encompass virtually any computer-based representation.In computer science, simulation has some specialized meanings: Alan Turing used the term "simulation" to refer to what happens when a universal machine executes a state transition table (in modern terminology, a computer runs a program) that describes the state transitions, inputs and outputs of a subject discrete-state machine. Accordingly, in theoretical computer science the term simulation is a relation between state transition systems, useful in the study of operational semantics.Simulation is used in many contexts, such as simulation of technology for performance optimization, safety engineering, testing, training, education, and video games.Often, computer experiments are used to study simulation models.Distributed Simulation is operating over distributed computers in order to guarantee access from/to different resources (e.g.