Throughout history, the three-dimensional perception of reality produced thinking models that allowed the creation of models of reality that included models of adaptation to reality.

The structural tendencies of current programs follow three main directions: prosperity, development, leadership. If we attribute them the values: - 1, 0 and 1, we obtain complex models, capable to explain the tensions and polarizations that we are currently witnessing in the world.

2D modeling, based on two axes, is less precise and explicit, as it represents the projection on two dimensions of some 3D programs subject to more complex characteristics, resulted from the structure of the edges belonging to the component cubes.

Thus, program A, dedicated to the natural and social environment, is delimited by the vertices:

• (-1,1,1) standing for (crisis management, tangibles, sustainability)
• (0,1,1) standing for (standard of living, tangibles, sustainability)
• (0,1,0) standing for (standard of living, tangibles, policy making)
• (-1,1,0) standing for (poverty, tangibles, policy making)
• (-1,01) standing for (poverty, basic social satisfaction, sustainability)
• (0, 0, 1) standing for (standard of living, basic social satisfaction, sustainability)
• (0,0,0) standing for (standard of living, basic social satisfaction, policy making) and
• (-1, 0, 0) standing for (poverty, basic social satisfaction, policy making).

The joint characteristics of each vertex define in a more distinct fashion the terms and content of program A (social and natural environment) and are reflected in a lesser degree in the program for new technologies (the program model). Nevertheless, they influence the solutions, by projecting new technologies, based on environmental and social feedback. As it can be seen in the above example, the general idea of the program is based on a philosophy that attempts to minimize the ecological footprint and reduce the social discrepancies due to poverty.

In the above figure, each of the component cubes defines a set of socio-economical behaviors envisioned by the main directions of the programs subject to modeling. When the areas of cultural trust of two sets are also in geographical contact, conflicts may arise, due to the change of a single coordinate of the vertices in the case of all eight vertices of the new cube. In the areas of cultural trust, this modification triggers opposed points of view on essential matters, thus engendering constant conflicts and divergences.

This is one of the visible consequences of the linear thinking and topology that have defined human thinking until recently. Another consequence was the development of state institutions focused on objectives that correspond to the exigencies established by the directions of the main programs (see www.austega.com/florin/; development and stability). The number of program directions is extended based on hypercubic models, which are not familiar to human thinking. The consequence of this fact is the long-term preservation of basic social models that become incapable of addressing the needs created by the multiple crises associated to the global warming. This leads to a number of conclusions:

• Statal structures and linear thinking are interconnected;
• The development of non-linear complex thinking may open the door to the creation of new network structures that have the potential to find adequate solutions by non-standard means. This becomes possible by extending and adding complexity to existing networks and IT products.
• The processes that are linked to the attempts of finding solutions for the current crises and the problems of globalization cannot be solved by means of linear program structures. They require a superior level of support in the networks of expertise. Therefore, it is a top priority to create IT platforms and products capable of sustaining a deeper involvement of specialists in the analyses and decision-making processes performed at the level of governmental structures. This can be achieved through intelligent networks and platforms capable of intercommunication and self- structuring in response to identified needs (the intelligent Internet).
• Another way of looking at things from the perspective of complexity are IT products capable of recognizing behavioral and structural patterns, thus leading to an increased level of human intellectual sensitivity and , implicitly, to the development of intellectual capacities and complex thinking.
• Although classical cultural models that stand at the root of the current forms of logic have been consecrated by philosophical and logical systems that were efficient for the period of time when with stable environmental conditions, at the present moment there’s a need for the development of new instruments, capable of defining feedback relations, the dynamics of transformations and changes, and the complexity required by the fractalic generation of new attributes that support various levels of complexity. These models do not annul the classical ones, instead ,they add new characteristics to the existing models.

The instruments of human thinking depend directly on the capacity to process data generated by the human sense organs. Due to the structure of the retina, the eye perceives a two-dimensional reality, and the brain adds a third dimension, thus creating a three-dimensional mental projection of the universe. Extending the intellectual perception to the third dimension requires, though, the training of intelligence in mathematical thinking.