Multispective problem-solving systems

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Our ability to detect cause and effect in a complex system is a tremendous challenge. For example for us to understand that the lack of rain in regions in Africa may be related to the air pollution in the U.S. and Europe may be hard to understand and hard to correlate from a single perspective simple, local-phenomenology.

This may be one of the limitations of using our local cause-and-effect logical models. In order for us to understand the complexity of our difussed systems we need complex correlation systems.

These tools may remind us that a problem is usually the result of a good number of factors, variables and dynamics. Conversely we may may also understand the need for us to transform our idea of a “solution” to the idea of a “complex solution system“. The Complex solution system addresses various factors, several variables, and serveral relationships. It is a system of solutions rather than ONE single solution.

The idea of a single problem/solution may be over. The idea of a simple cause and effect may also be over.
The next step

We can also accelerate our problem-solving methodologies by integrating another perspective, Non-linear Difussed correlation systems. These systems may correlate difussed dynamics across time, and space. This may lead to a more complex perspective where we may also understand that most causes are also the results of effects (across time and space systems dynamics) and most effects are also the results of causes (across time and space systems dynamics).

Here we may arrive to the idea of the Multi-contextual non-linear difussed solution systems. Like the complex solution system it addresses several factors, several variables and several relationship dynamics. Additionally this non-linear diffused solution system seeks to contextualize issues across time, and space in order to address non-linear, non-localized diffused dynamics. This means that these solution systems reach back into the history of the understanding of the problem. It may also analyze our understanding of future projections of the problem. It should also include the multiple understandings of the present dynamics.

It broadens the lens to include global dynamics. It may also seek to re-understand and address the contextually-re-understood issue across various localities (while respecting the contextual dynamics of culture, customs, logics etc).

This may be the most complex type of solutions systems. Arguably the most challenging.
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