The Role and Use of Computer Simulations in Understanding Complex Situations

What is Computer Simulation: In computer simulation, various algorithmic models of various systems are simulated to achieve the goal of finding outcomes. Firstly, a viable computer model of a system has to be developed. This involves deep study into the functioning of the system to arrive at a purely technical equivalent of major structures. Major command and control centers are localized and models that mimic their functioning are made. In most cases the type of systems under study would in the normal course of action, be too complicated to replicate or to be studied analytically. Extensive use of distributed computing is relied on to produce results that can be used in real time. In computer simulation the various possible inputs are fed into the structure and the possible outcomes are studied to let us know the right input and the study of the internal functioning of the structures. With the cheaper and more powerful computing power gaining importance, it makes greater sense to study systems in replica than the real thing.

Do People Learn From Computer Simulations: Computer simulations are the closest that people can come to replicating major structures that exist? The capacity to lead is often seen to be affected by people who can learn from mathematical models and simulations. Many a time the failures to follow set rules that govern structures have seen to cause collapse or breakdown of such structures or systems. Thus in order to manage complex structures, it is imperative that systems are modeled and simulated. The response to stimuli can vary with differing cultures, different situations and different organizations. With the need to standardize such dichotomous structures lead people to develop ever complex simulations. The SNMP simulator too takes care of the need to respond to ever complex command and control structures. It principally caters to situations where the control inputs are far too many and the controlling entities many. Bringing in an order to an otherwise chaotic situation is the prime purpose of using such simulators.

The Relevance of Computing Power to Stimulations: With the ever increasing computing power on tap, people might think that more complex calculations can all be done in a jiffy. Not quite. With the ever increasing computing power so too does the complexity of structures increase. If you were to look at weather models, it would be seen that over the years more and more powerful computers have not quite solved the forecasting accuracy. This can be attributed to the increasing complex simulations being presented. So much so that the higher computing power is nullified by the ever increasing complexity of the weather models. The role of SNMP simulation is to bring larger number of variables under control. This in many ways tries to simplify the structures that are under study and also helps bring greater control to models. This brings us to the new generation of computing that uses distributed models to simplify very complex systems and structures. And the advantages provided by simulators in breaking down complex situations do help bring about greater predictability and understanding of such systems.