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Compendium for solving a complex problem. Brief reflection

In logic, physics, mathematics and in general in any field, sooner or later you'll be facing a so-called "complex problem".
You might say that complexity is related to the person who deals with it. This is partly true, however, there is an ontological definition of the concept of complex problem.

complex problem that is defined as matter that has three or more of the following characteristics:
- partial or complete lack of data
- interactions between multiple sets
- presence of probabilistic calculations
- complete or partial absence of theorems postulates
- complete lack or part of previous theories of what the problem might be
corollary - the presence of intelligent beings and agents as key variables of the problem.
- presence of paradoxes

With this online compendium want to formalize a general absolution and abstract structure that can serve as a good mindset for the resolution of these situations, of course, every problem has its specific cases that may require modification or distortion of ' or order of computation of the solution. We now

the performance itself:

1) Secure the constant determination: what commonly called 'solution', many times you will be given other, especially in sociological, you will need to decide. This step is crucial because it will affect any specific method to satisfy.

2) Fix all equally good or sets where you want to work: very soon if I have to work ONLY on all R is pointless going to take elements of C, but if I have to work on all R and C then it is useless to bother going all S except that the process does not prove necessary to add or remove work plans to achieve the constant determination.

3) Eliminate the hassles of the already complex problem is, You do not want to further complicate it, so everything considered unnecessary to be eliminated, attention, however, that what is excluded must first undergo a careful assessment and should never be completely trashed it might be useful later to satisfy the constant.

4) Put it into your head that the most rational solution is not always one that will get things exactly as you like: there's a huge difference between results "expected" results and "effective." If I see one of my friends on the other end of the road and I want to kill him off without (constant soddisfacmento) walk from the nearest pedestrian crossing, wait for it do not pass any cars and then will cross, but at the same moment a door of a plane 4000 meters pulp comes off and I do not ever read the newspapers "idiot trying to cross the street and die." There are things that unfortunately you can not have mathematical certainty then you can make the most rational choice possible, but that does not mean necessarily go as you want it to go.
NB: This is not an invitation to let go at the mercy of fate, more than anything is to understand the concept is not accustomed to reasoning in a logical - mathematical.

5) Gather all possible data and does not assume others unless you are sure of their accuracy.

6) Consider the problem in a Cartesian means that, if possible, try to decompose the problem complex problems into smaller more easy to solve. If this is not possible then you should try to rationalize the problem of seeing in it the pattern that characterizes it and act according to that pattern.

7) Consider the problem in a fregiana: never, never, lose the general pattern. Although you were able to decompose the complex problem, do not miss ever seen in its entirety. Always check that the solution of problems should not be broken down to contradict with each other or with the general pattern of the problem in its entirety.

8) through each point of view as possible: taking care not to make too much influence.

9) Do your ideas to pass data: never, say never let your personal beliefs to influence the data in any way. There is no a priori impossible, there after his demonstration. Same thing for the opposite, there is no obvious a priori, there is only sopo his demonstration. Just because you think something is so does not mean that it is and vice versa. Even the postulates and the axions (as opposed to what one might think) have to be demonstrated that at times, very solipsistic may be in themselves.

10) Calculate the computer, nothing is left to chance.

should be everything. I hope that this method of work can help someone to solve problems or just to reflect a little.