Complexity

QCT and Measuring Physical Processes

The complexity equation shows how it is possible to measure the intensity of physical processes, which can be categorized as Structure->Entropy and Entropy-> Structure transformations.

What this means is that sometimes structure is turned into chaos or disorder becomes structure. Not surprisingly Nature is full of examples precisely because, at a very high level, it does these two things. Physical processes involve transport of matter, transmission and transformation of energy as well as transmission and processing of information. Some of these processes are illustrated in a recent blog.

In this short blog we illustrate a beautiful animation of ice formation as the temperature of water is lowered (source).

As temperature is lowered (from left to right) more ice crystals form (more structure) and entropy decreases (less disorder). At the same time, as more structure emerges, complexity increases, which is typical of phase transitions from liquid to solid, see plot below:

The full animation is shown below.

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Established originally in 2005 in the USA, Ontonix is a technology company headquartered in Como, Italy. The unusual technology and solutions developed by Ontonix focus on countering what most threatens safety, advanced products, critical infrastructures, or IT network security - the rapid growth of complexity. In 2007 the company received recognition by being selected as Gartner's Cool Vendor. What makes Ontonix different from all those companies and research centers who claim to manage complexity is that we have a complexity metric. This means that we MEASURE complexity. We detect anomalies in complex defense systems without using Machine Learning for one very good reason: our clients don’t have the luxury of multiple examples of failures necessary to teach software to recognize them. We identify anomalies without having seen them before. Sometimes, you must get it right the first and only time!

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