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Section 1         Foreword        *Issues        *Mapping        Usages        Extensions        Archetypes
 

1.2

 -- Issues

 
 

The main concern is complex systems where implicit and intricate relationships infer difficulties to gain a global system understanding while many issues remain informal and uncertain.

 

The cases that initialized a solution have been fragmented interconnected markets and large organizations where informal relationships govern the process.

Each individual knows how to handle a context but it remains a difficulty at describing how the whole behaves and at proposing an explicit strategy that make a sustainable global sense.

In large distributed organizations and in globally interconnected environments, the individuals easily loose track of informal knowledge and may hardly align themselves coherently with a whole, while a leadership may experience difficulties to emerge with a sustainable and clear vision of the future.

A large web of relationships is typically intractable and we found the usual mapping techniques merely inefficient or usually loosing sense when the quantity of information increases.

 

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Parallelisms
: Intangibles - Neurophenomenology - Quantum mechanics


Intangibles

- "Informal issues"- Those words refer to issues which are not said and issues which are not known at given time, no matter if further investigations may or not reveal additional knowledge.

The focus is here - and all the way along - strongly operational: at a given time, most of the cases handled by human being are framed by a time and resources limitation. Hence a complete knowledge is in the general case de facto not achievable irrespectively of any philosophical question.

Frequently, incomplete information stands in intangibles (i.e.: relationship, friendship, sympathy, social connectedness, information sharing) but may also be encountered in hidden interconnections between physical bodies (i.e. not measurable effects of electromagnetic wave).


Neurophenomenology

- "Mapping loosing sense" - We recognized merits to several graphs and mapping techniques - i.e. mind mapping, social network analysis, trends maps - but endlessly they became cumbersome at reading with the increase of data.

It has been our diagnostic - at that time - that those maps enabled sometimes nice data recording but owned a limited effectiveness at inferring instinctive usages and updates afterwards.

We diagnosed that the effectiveness limits may originate in the fact that lines and arrows often induce complexity - i.e. because of crossings or because they limit a view to only a constrained set of the possible scenarios.

We tried schemas with no lines and arrows and we observed that some arrangements of free labeled clusters could make sense better.

A typical example of a no-lines-no-arrows graph that makes sense is an architect 2-D top view of a house: there is not need of lines and arrows for the brain to understand at once all the possible scenarios and possible sequences of actions that one may perform in the house.

This brain capability to see "all at once" is among the major factors that triggered all the developments which are exposed here.

We think that we can illustrate the difference between our maps and the maps with arrows-lines as being similar to the difference between a story given by a book and by a movie.

At reading a book, our imagination usually infers companion mental images in a free way. They might be multiple and possibly changing along the reading of the story. At watching the same story on a movie, one may still imagine some but a large amount of the context is fixed by the actor choice, their voices, looking and attitudes as well by the rest of the scenery. A movie is like only a constrained subset of the imaginable given by the book. 

- "Boolean versus random" - Very frequently we observed that organizational graphs - particularly in the domain of software application programming - tend to end up with a Boolean description while the brain's users is naturally accessing a problem in a random access fashion.

According to our observations, graphs with no-lines-no-arrows allowed to recover a compliance with this brain random access capability.

We can also mention that old fashion programming has been for long highly Boolean but recent languages and protocols all tend at recovering random access capabilities - i.e. XML-XSLT-SOAP, agent programming and Service Oriented Architecture (SOA).

A same Boolean-to-random evolution can frequently be found in businesses where the company organizational charts are well structured in departments silos but where it is recognized that the company mostly works because a random informal communication system efficiently liaises the workers.

Such enterprise reality is also a good illustration of the complexity of our concerns because it highlights an hidden interconnected mechanism.


Neurophenomenology - Quantum mechanics

- "Sport teams" - The difference arrows/no-arrows may also be well understood by the analogy with a sport team.

If you imagine tracking with arrows all the relationships that may happen or happened between the players of a team during a soccer match, the arrowed-graph may become sense-less, while simply the names of the team members adequately disposed on a game board often tell a good idea of the strategy and gives a view of the most probable relationships.

This understanding is not explicitly exhibited on the sketch. It is purely constructed by the human brain.

Such a drawing illustrates that probability densities of interactions - which is what quantum mechanics expresses for particles - can be apprehended by a human brain in some circumstances.