QCT and Measuring Physical Processes
The complexity equation shows how it is possible to measure the intensity of physical processes, which can be categorized asContinue Reading
is powered by Quantitative Complexity Management
The complexity equation shows how it is possible to measure the intensity of physical processes, which can be categorized asContinue Reading
The emergence of order and structure from chaos and disorganization is a fascinating phenomenon observed in physical, chemical, and biologicalContinue Reading
There exist numerous types of physical processes. They involve interactions and transformations of matter and require energy as well asContinue Reading
In the framework of the European Horizon Project AFFIRMO, grant 899871, Ontonix has developed a Risk Stratification tool which providesContinue Reading
Complexity is defined formally via the following equation: C=f(S; E) where S stands for structure, E is entropy and fContinue Reading
At Ontonix we have developed a comprehensive complexity metric and established a conceptual platform for practical and effective complexity management.Continue Reading
The so-called Complexity Science has been around for a few decades now. Chaos, as well as complexity, were buzzwords inContinue Reading
Our complexity metric, like all good metrics rooted in physics, has a lower and an upper bound. Critical complexity, asContinue Reading
It is popular in the conventional ‘qualitative’ approach to complexity – whereby a metric of complexity isn’t at all consideredContinue Reading
The fundamental equation of the QCT shows how complexity itself is a variable with its own dynamics. As the interplayContinue Reading









