Simulation Modelling.

Reflection: Modeling and Simulation is a discipline for developing a level of understanding of the interaction of the parts of a system, and of the system as a whole. The level of understanding which may be developed via this discipline is seldom achievable via any other discipline.

A system is understood to be an entity which maintains its existence through the interaction of its parts. A model is a simplified representation of the actual system intended to promote understanding. Whether a model is a good model or not depends on the extent to which it promotes understanding. Since all models are simplifications of reality there is always a trade-off as to what level of detail is included in the model. If too little detail is included in the model one runs the risk of missing relevant interactions and the resultant model does not promote understanding. If too much detail is included in the model the model may become overly complicated and actually preclude the development of understanding. One simply cannot develop all models in the context of the entire universe, of course unless you name is Carl Sagan.

A simulation generally refers to a computerized version of the model which is run over time to study the implications of the defined interactions. Simulations are generally iterative in there development. One develops a model, simulates it, learns from the simulation, revises the model, and continues the iterations until an adequate level of understanding is developed.

Modeling and Simulation is a discipline, it is also very much an art form. One can learn about riding a bicycle from reading a book. To really learn to ride a bicycle one must become actively engaged with a bicycle. Modeling and Simulation follows much the same reality. You can learn much about modeling and simulation from reading books and talking with other people. Skill and talent in developing models and performing simulations is only developed through the building of models and simulating them. It's very much a learn as you go process. From the interaction of the developer and the models emerges an understanding of what makes sense and what doesn't.

I am repeatedly amazed at the ability of my models to point out my own ignorance. Through the activity of developing the model and then simulating it, the simulation says, "Based on your model and your set of assumptions, reality is absurd!" Often times the model is grossly incorrect, and other times the model produces great leaps in my understanding of how things actually work, and, quite often contrary to common sense. It is an amazingly wonderful journey my models and I are undertaking. 

In addition, this simulation modelling is one of the stepping stone to enhance greater thinking skills. It is also acts as one of the interactive teaching modules and can be very effective and interesting!