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单词 simulation
释义
simulation

Physics
  • See Monte Carlo simulation.


Mathematics
  • An attempt to replicate a physical procedure mathematically, where the system being studied is too complicated for explicit analytic methods to be used. Because of the complexity, simulation is often carried out by computer, perhaps using Monte Carlo methods. As simulation is often only an approximation to the physical procedure, the use of sensitivity analysis is crucial.


Statistics
  • A procedure used when there is no analytic solution available for a problem involving random variables. Pseudo-random numbers are used to mimic the random variables involved. Two general methods are the inverse transformation method and the rejection method. See also Monte Carlo methods.


Computer
  • Imitation of the behaviour of some existing or intended system, or some aspect of that behaviour. Examples of areas where simulation is used include communication network design, where simulation can be used to explore overall behaviour, traffic patterns, trunk capacity, etc., and weather forecasting, where simulation can be used to predict likely developments in the weather pattern. More generally, simulation is widely used as a design aid for both small and large systems, and is also used extensively in the training of people such as airline pilots or military commanders. It is a major application of digital computers and is the major application of analogue computers.

    From an implementation viewpoint, a simulation is usually classified as being either discrete event or continuous. For a discrete event simulation it must be possible to view all significant changes to the state of the system as distinct events that occur at specific points in time; the simulation then achieves the desired behaviour by modelling a sequence of such events, treating each individually. By contrast, a continuous simulation views changes as occurring gradually over a period of time and tracks the progress of these gradual changes. Clearly the choice between these two in any particular case is determined by the nature of the system to be simulated and the purposes that the simulation is intended to achieve.

    Although the distinction between simulation and emulation is not always clear, an emulation is normally ‘realistic’ in the sense that it could be used as a direct replacement for all or part of the system that is emulated. In comparison, a simulation may provide no more than an abstract model of some aspect of a system.


Philosophy
  • The view that our understanding of others is not gained by the tacit use of a ‘theory’, enabling us to infer what thoughts or intentions explain their actions, but by reliving the situation ‘in their shoes’ or from their point of view, and thereby understanding what they experienced and thought, and therefore expressed. Understanding others is achieved when we can ourselves deliberate as they did, and hear their words as if they are our own. The suggestion is a modern development of the Verstehen tradition associated with Dilthey, Weber, and Collingwood. See also theory-theory.


Economics
  • The use of quantitative models to represent the working of an economy. Given assumptions about how an economy works, simulation is used to see how a model economy responds to changes in these assumptions, changes in the distribution of stochastic shocks, or changes in economic policy. Simulation models often use numerical methods, as their structure is too complicated for analytical conclusions about their behaviour to be obtainable. See also Monte Carlo method.


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