Complexity Sciences are defined as the scientific approach to deal with complex adaptive systems. The unicist theory expanded the frontiers of sciences making the scientific approach to complex adaptive systems possible without need-ing to use arbitrary palliatives to transform complex systems into systemic systems in order to be able to research them.

Complexity Science Research

The Unicist Standard for Complexity Research was developed based on the characteristics of adaptive systems con-sidered in their complexity.

Some of the characteristics of such systems are:

- Open boundaries

- Bi-univocity of its components

- The existence of conjunctions without disjunctions

- The inexistence of observers

The consequence was the substitution of an epistemologically invalid approach to complex problems, dividing them into variables, which are inexistent, by a unicist ontological approach driven by objects, in which objects are inte-grated as subsystems in adaptive systems, following the rules of the ontogenetic intelligence of nature.

The development of the unicist ontological research methodology allowed discovering the unicist ontogenetic maps and ontogenetic algorithms of human adaptive systems making them reasonable, understandable and predictable.

The unicist approach to complexity sciences integrates ontology, science and actions in a unified field. Therefore the research on human complex adaptive systems cannot be done through artificial experiments or simulations. It has to be done in an environment of real action. In the unicist approach doing and researching are integrated in a unified field.

The unicist ontological research model enabled the definition of the field of possibilities of an adaptive system and to enter then in the field of probabilities of the occurrence of events. The concepts of falsification and validation, appli-cable to systemic sciences, were replaced by the use of destructive and non destructive pilot tests.

The presentation of the knowledge of complex adaptive systems includes two different levels of information:

a) The synthesis: that includes the discoveries of the unicist ontological structures and the ontogenetic maps written in unicist standard language.

b) The research process: that describes the steps of the research process.

 

Complexity Science Research Methodology

There is a general research methodology that has to be followed to define the validity of an ontological structure that is needed to deal with complex adaptive systems.

The basic steps are:

1) Develop the hypothetical structure of the ontology.

2) Analyze the ontology and divide it into sub-ontologies following the laws of complementation and supplementation (only when necessary and possible).

3) Define observable results that need to be considered to validate the ontology.

4) Define the application fields of the ontology to validate its functionality.

5) Develop the applications beginning with destructive and non-destructive pilot tests to forecast reality.

6) Develop at least five experiences in the application field differing completely one from the other.

7) Develop forecasts of at least three periods with full certainty.

8) Restart the research process every time a deviation occurs.