Failed Doomsday, eco-pocalyptic predictions and Extreme Problems

Failed Doomsday and eco-pocalyptic predictions

Artificial Intuition


Extreme Problems are very large-scale multi-disciplinary problems, involving thousands or millions of variables and which cannot be solved using conventional technology. In such situations, it is impossible to determine the cause of the problem not only because of its sheer size but, most importantly, because it is frequently perceived through conventional eyes and distorted by narrow and linear thinking. It is not a matter of Big Data, AI, huge compute power or sophisticated math modeling – some things just cannot be modeled. Certain problems cannot be solved with traditional mathematics. A model-free approach is mandatory.

One example is that of climate models. The climate on our planet is dominated by very many factors, some impossible to model, some simply unknown. Those who have been engaged in building models know that:

“The most important things in a model are those it doesn’t contain”

So, how good are climate models?Below are some…

View original post 495 more words

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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