Reducing Complexity

Nothing is complex in this world, if logic is applied to do the things or to understand the things.
Thanks for   referral, Purvi.

Complexity means anything that need more attention than usual to understand. For example a cat jumping over a wall is easy to comprehend, but the physics involved is complex, one has to think in terms of the force, mass, trajectory etc;.
The solution to learn complex things don't happen overnight. It is a committed effort spanning many years of training from school onwards where 'differentiation of labor' come into play. This is an organizational theory and economic concept where in a firm employees are differentiated or clustered into different groups of specialization where each cluster understand the specificities and complexities of their job and not other's.
So figuring out complexity in ones profession is a long process, I don't think one can get to know about complexity in everything, for example complexity embedded in your organization is different from the complexity in a space flight.
Another way of looking at complexity is complex events are random in nature where as deterministic events are less complex.

Thanks Purvi for referral. According to me one should not think of any thing as complex see it will become easier to crack. Nitin has very rightly pointed out that more complex things has easy way to crack.

Mr. Andreau has given a categorical review of the subject. However, I will try to present my own perception.  

There will always be a subjective element involved in the  choice of aspects of a system which are worth modelling. The reliability of models will critically depend on the degree of independence between the features included in the model and the ones that were not included. That degree of independence will be determined by the "objective" complexity of the system. 
Though we are in principle unable to build a complete model of a system, the introduction of the different dimensions will  get a better grasp of its intrinsic complexity. 
The key is to accept that some complexity is inevitable, much of it is self-generated and can therefore be reversed. Measuring and defining complexity is very difficult.  It is a relative concept.  

Hi!poorvi, I think more if & buts of issues putting complexity,so if clear knowledge about issues or taken help from an experet/analayst we can reduce any comlexity. Simple living and great/good/to the point thoughts are the key to solve any complexity

Thanks,Purvi for referral.Non of thing is complex,if you move leisurely.Take the case of a school going boy.He reaches home late very day by half an hour,where as his other colleagues reach on time.His explanation that he enjoys studies and so other things , games,walking,enjoying the mother nature,whereas others enjoy studies sans other things.The extra curricular activities are OK,but he made his life complicated that his parents thanks ;GOD' when he reaches home.

Complexity is your favorite subject right Mr. Andreu Gineset.. 

Thanks Mr Nitin for this subject. 

Things will become more complex and we are trying to make them less complex so I would not add anything which might confuse us more.

Thanks Nitin for throwing this topic open for public debate.  Fruits falling off of trees after ripening is a natural phenomenon, happening for ages! When Apple fell on Newton's head, he gave a new paradigm and explanation to this phenomenon in Physics - "Law of Gravitation" emerged!  Gravitational pull is a natural phenomenon, every object falls - very simple to follow and understand! Our scientific community gave complex derivations and mathematical notations to explain this concept, narrowing down the understanding to elite groups! They explored further, understanding of "escape velocity" leading to emergence of Rocket Science. As the horizon expanded, the knowledge-circle dwindled!  When they applied that theoretical knowledge in real time, the outcome as a finished product serves the society at large.  To understand any concept, we have to understand it in its entirety.   For any concept that is not weaved around nature, catastrophe and mass destruction are the result.  

Nitin, 
thanks for the invitation, this is a very important discussion.

I shall start with a proposal, which obviously may be debated and does not pretend in any way to offer a single solution, because complexity needs a diverse approach. To look for a universal and unique solution makes sense, if this one single and unique solution is embedded in a multiple, diverse, collateral concept. The point is that unique solutions may be worked at and still have diverse applications. 

1. In my understanding, the most important step in reducing complexity is its conceptualization.
For this we have to see complexity putting ourselves outside of complexity, as if we were standing on the moon and looking at it on planet earth. The point is that complexity needs to be abstracted and visualized. The abstraction of complexity requires most of all creativity. We just need to look at creativity in an innocent way. Innocence is obviously not easy to achieve, because it means that we need to get rid of our prejudices and focus on complexity in a neutral, open-minded way. We need to get inspired by complexity. We need to gestate complexity, we need to mature it, we need to reflect and communicate about it and then hope to find at some point a situation in which we are happy with the one method we look for. Last but not least, we need to understand that we need to overcome the problem situation, put our selves in a situation where we "create" a new problem and the problem creates not us: we need to emancipate and visualize our selves above and bend this question, in order to solve the problem you ask to solve.

2. The second step is to decide if we want to be empathic or non empathic. Empathic conceptualization of complexity is a key to sharing complexity on the planet. Non empathic conceptualizations lead to a very brutal understanding of what human species may do or not.

3. The third step would be to use a method of strict codes to simplify complexity conceptualization. We have developed such a row of codes and use it. It works very well. But our codes need to be discussed. 

There are companies on this planet that use about thousand concepts to describe complexity. If theses 1000 concepts are classified in a simple structure, fine. If these concepts are classified in a "healthy shape", fine. But, if the classification is not oriented towards a sustainable concept, they will just be delusive, non sustainable.

For this reason, it is not the precision and the quality of the codes them selves that counts, but the architecture behind. We need to apply an architectural concept on complexity reduction that in itself is evolutionary and represents a life cycle. Unless we do so, complexity becomes visualized in rigid terms of dead-end evolution.

As long as we are a part of nature, language is the evolving filter of information we use to distinguish between our freedom and our concretion. Complexity is the total of it. But, we need to understand that we first are: part of nature, our complexity production is part of nature, our information production (which is the visible/perceivable expression of our complexity production) is also part of nature. 

As nature is based on cycles, we need to construct cyclic complexity governance.