Simulations involving circuit behaviour are examples of deterministic systems.
As such, the simulation results for a given set of inputs will always be identical. The results generated from a stochastic system are typically analyzed statistically in order to make conclusions regarding the behaviour of the system.Ĭonversely, a deterministic simulation system incorporates absolutely no random behaviour whatsoever. Through the introduction of this randomness, the results of a simulation may never be the same as a previous simulation.Ī system, such as this one, that relies heavily upon random behaviour is referred to as a stochastic system. A similar strategy may be adopted for the rate at which customers enter a bank. Hence the duration of each transaction may be generated from this distribution. Consequently such a simulation system must introduce random behaviour to simulate the duration of each transaction.ĭuring the analysis of a real world banking system it may be discovered that the time required for a transaction occurs over some well known probability distribution. The length of time required for a teller to process a customer's transaction cannot usually be predetermined before the simulation is started.
It is useful to classify the system being simulated into two separate categories depending upon the degree of randomness associated with the behaviour of the system in its simulated environment.įor example, consider a simulated system consisting of a series of bank tellers who must provide transaction services to incoming customers. What Is The Classification Of Simulation Systems?
Other problems, unfortunately, are inherent within simulators and are related to the complexity associated with the systems being simulated. Many of the problems are related to the computational limitations of existing hardware platforms but are quickly being overcome as more powerful platforms are introduced. As such, simulators provide a crucial role in both industry and academia.ĭespite the increasing recognition of simulators as a viable and necessary research tool, one must constantly be aware of the potential problems which simulators may introduce. Such phenomenon range from examination of black holes to the study of highly abstract models of computation. Simulators may also be used to analyze and verify theoretical models which may be too difficult to grasp from a purely conceptual level. Typically, the entity or phenomenon being simulated is from the domain of the tangible ranging from the operation of integrated circuits to behaviour of a light aircraft during wind sheer.
What Is The Need For Simulation?Ī simulator is a collection of hardware and software systems which are used to mimic the behaviour of some entity or phenomenon. Simulation activities can include technical skills training (manikins, task trainers), role playing, virtual reality/e-learning and blended simulation. Healthcare simulation encompasses a range of activities that share a broad but common purpose: To improve the safety, effectiveness and efficiency of healthcare services.Ī simulationist is an expert in the knowledge, skills and attitudinal aspects of using the methodologies of simulation to achieve learning objectives.Ī simulation centre is a physical space where simulation is employed for health professions education. In health professions education, simulation is a methodology to help achieve educational goals. Simulation is the imitation of some real thing, state of affairs or process.