Simulation is the
Simulation is used in many contexts, such as simulation of
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. Procedures and protocols for
Historically, simulations used in different fields developed largely independently, but 20th century studies of
Interactive simulation is a special kind of physical simulation, often referred to as a
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.
Hybrid Simulation (sometime Combined Simulation) corresponds to a mix between Continuous and Discrete Event Simulation and results in integrating numerically the differential equations between two sequential events to reduce number of discontinuities 
Stand Alone Simulation is a Simulation running on a single workstation by itself.
Distributed Simulation is operating over distributed computers in order to guarantee access from/to different resources (e.g. multi users operating different systems, or distributed data sets); a classical example is
Modeling & Simulation as a Service where Simulation is accessed as a Service over the web.
Modeling, interoperable Simulation and Serious Games where Serious Games Approaches (e.g. Game Engines and Engagement Methods) are integrated with Interoperable Simulation.
Simulation Fidelity is used to describe the accuracy of a simulation and how closely it imitates the real-life counterpart. Fidelity is broadly classified as 1 of 3 categories: low, medium, and high. Specific descriptions of fidelity levels are subject to interpretation but the following generalization can be made:
Human in the loop simulations can include a computer simulation as a so-called synthetic environment.
Simulation in failure analysis refers to simulation in which we create environment/conditions to identify the cause of equipment failure. This was the best and fastest method to identify the failure cause.