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Vadim's Relonics Tools
an introduction
See also Vadim Kvitash's own introduction to Relonics and LivingRelonics
Relonics is a novel science of Control, Regulation and Coordination in complex, super-complex systems and in systems with infinite complexity. Relonics has its own ontology, epistemology, methodology, a set of its own structural languages, and fully operational generic domain-free platform technology. Relonics was developed using the experience of medical practice. The ds21 project is working with their inventor to adapt them for use in metadesign. It would appear that (western) medicine still relies largely on the expert experience (i.e. informed intuitive judgement) of doctors, aided by a very small set of discrete indicators such as temperature, fever, breathing difficulties, etc. Although doctors routinely use machines to represent larger set of criteria such as chemicals within the blood, there is no widespread exhaustive procedure that explicitly shows all of the relations among all of the data. Most of the data that, say, blood samples contain is therefore ignored or discarded once it has been inspected for unusual levels in a few, separate readings.
The need for a new word: 'relons'
Vadim Kvitash's approach begins from a different premise that can also be applied in other fields. His Balascopic methodology
and patented tools can map all of the specified relations in a given set of data. This reveals a surprisingly high quality of new kind of information about health and disease. The presence of what we might call 'imbalance' among these relations is used to make this explicit. However, using this approach, relationships emerge as quasi-entities in themselves. His neologisms 'Relon' and ‘Relons’ reflect this fact. He coined the term because it describes phenomena that are similar to, but not synonymous with, more familiar terms such as ‘balance’, ‘equilibrium’, and ‘symmetry’.
The uniqueness of 'relons'
Because of its unusual nature, a language of measurement was needed in order to represent relonics precisely enough for diagnosis. Measurement must be suited to what is being measured. Patterns express relationships better than standard statistical formulations in numbers. It is essential to find commonalities, and these can be derived from a simple scale of levels that registers the upper and lower limits within which the whole system is able to survive. This would normally be calibrated using natural Balascopy scale from 0 to 100. In this way, potentially dissimilar measurements and values can be normalized and directly compared. Standard statistical approaches do not represent multiple relationships effectively and simultaneously. They may misrepresent pertinent values because they impose only a scalar arithmetical logic of ‘averages’ on systems that require a more sensitive and more peculiar logic of relations.
Typically: a set of (usually incommensurate) features within a given system (e.g. commonly used laboratory blood tests) are mapped onto a circular chart so that every item’s relation to every other item can be shown. Simply by noting and representing zones of ‘balance’ and ‘imbalance’ in comparison with previous observations, the metadesigner would be able to draw surprising conclusions about the present (and future) well being of the system. The systems explored so far show that ‘balance’ and ‘symmetry’ may be different.
The predictive powers of relonics
Using his methods, Vadim can make predictions about the outcome of disease. For example, he can categorically predict different outcomes of heart attack using three-value logic:
1) Fatal outcome
2) Non-fatal outcome
3) Indefinite outcome
There are different ways in which system adapts to its own internal and external conditions. Those complex dynamic of adaptive changes depend on mechanisms of Control. Control of the system goes through the mechanisms of Regulation and mechanisms of Coordination. Regulation and Coordination are functionally mutually independent mechanisms, which are governed by the mechanism of Control.
Regulation (R) and Coordination (C) can be normal (n) or abnormal (a). Therefore, the following holds true:
- nR + nC = normality
- aR + nC = adaptation
- nR + aC = hidden malfunction
- aR + aC = overt malfunction
Those distinctions of different types of system functioning has a significant role in achieving and maintaining synergy of the given system, and provides an effective practical tool for discrimination of adaptive and non-adaptive systemic changes.
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