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A simulation is a model (a system) and therefore it often does not describe the real system. Simulations are used because they are simpler to use or more cost effective than the real system. The downside is that you do not get all of the information about how your business will react to changes in its situation. There are many different types of simulations, including flight simulators for pilots, weather or climate models for weather forecasters, or computer models of an economy for economists. One tool that has been mentioned several times on this blog is ModelSim PE Student Edition 10. 4, which is a simulation model for schools and colleges. ModelSim PE is a simulation tool that allows you to create and run simulations without programming skills. It is powerful and versatile and can handle any type of simulation: Game: The player chooses the state of the system before executing the simulation (where it starts) and works towards a goal (the final "state" after the simulation). The player has complete control over all actions. Each action has a specific name such as “buy stock” or “increase payroll”. The game only deals with one specific game play. Therefore, it is usually best to implement game rules in a very high level language, that is, the language used by the user (e.g. English). This requires a lot of thinking and attention on the part of the user to make sure he/she has covered all possible outcomes and ways for playing the game. Sim: The actions and events in a business simulation do not require complex decisions (like “buy stock”) and can therefore be automated by an IT user who uses high level programming languages such as C++ or Java. It is very difficult to automate game rules. Decision: Managers need to make decisions about the utility (or profit) of actions in the game. The users still use high level programming languages such as C++ or Java Eco-Simulation: An ecological simulation allows you to combine many different models of the same system with different parameters. For example, economic models, population models and environmental models can be combined to create an ecological model. This allows you to see how the different models interact with each other in an integrated way instead of having multiple isolated simulations that do not influence each other in any way, or only indirectly through the use of one simulation tool. Each simulation type in ModelSim is a different tool. When a simulation is created, the user chooses which type is to be created and in what language. The language chosen for a simulation does not have to be the same as the one chosen for other simulations in your project. This makes it possible to mix simulations from various types in one project without having to program each application separately. An example of a complex eco-simulation: In this example, there are two models that interact with each other, an ecological model and an environmental model. The ecological model contains animals that eat their way through the environment. cfa1e77820
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