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Classification of Computer Economic Simulation Technology

Source: Shangpin China | Type: website encyclopedia | Time: March 31, 2015
Simulation models can be divided into deterministic models and stochastic models. Now, on this basis, we can roughly divide economic simulation technologies into four categories. Human progress is inseparable from economic development. Computer technology has accelerated economic development, Website production It also brings convenience and speed to people's life.

1、 Monte Carlo method
Monte Carlo method is a typical simulation technique for stochastic models. "Monte Carlo" is a gambling city in Morocco. Statisticians, inspired by the probability of winning or losing gambling, use random numbers to study the relationship within the system, hence the name of Monte Carlo method. This method assumes that the activities of economic things obey a certain probability distribution. Then, the probability distribution is generated by the number of machines. Every simulation produces a result. After hundreds and thousands of simulations, a relatively stable result is obtained, which is the approximate solution of the problem. Next, we will discuss in detail how to use this method to simulate inventory management. However, Monte Carlo method is a very widely used technology. For each kind of management, it can adopt different random number generation methods and different forms of simulation. Therefore, unlike input-output technology and linear programming technology, it has a very fixed model.

Economic simulation technology

2、 System simulation method
This is a simulation technology to reproduce complex system activities. The biggest difference between the Monte Carlo method and the Monte Carlo method is that it takes random samples from the actual population, rather than generating samples according to random numbers, that is, this method first assumes that the actual things obey a certain probability distribution, such as Poisson distribution, and then generates random samples from the Poisson distribution of this population. Its advantage is that it overcomes the disadvantage that the probability distribution of the actual things may be too different when the sample size is small, but the disadvantage is that the simulation results are inappropriate when the probability distribution of the actual population is assumed to be wrong. This method also belongs to the simulation technology of stochastic model.

3、 Timing model method
This is a simulation technology to study people's participation in systematic activities, such as the simulation of chess game model and world economic game model. You Qian joined the human activities, making the answers of the simulation more complex and more difficult. It is also a simulation technology of random models.

4、 Deterministic model method
This kind of model does not include random factors. It is a truthful description you use to study various factors of the real system. What you get is a trend with important reference value. System dynamics models can be classified into this category. Because the system dynamics model can be simulated with DYNAMO language, it is very convenient to use this language as long as you learn it. Next, we will discuss the above important simulation models in two parts. One part uses BASIC language to write programs and introduce Monte Carlo simulation technology. The other part introduces the application technology of DYNAMO language program of system dynamics.
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