Stochastic Crash Simulation – A Bit of History

The image, by J. Marczyk, that inspired stochastic crash simulations in mid 1990s.

Below is a reproduction of a 2004 article, “Chaos!”, that appeared in the magazine CAD User, and based on an interview with J. Marczyk, at the time Chief Scientist at MSC Software. His work on stochastic crash simulation in the 1990s inspired much of the Quantitative Complexity Theory he developed in the early 2000s.

The following article is from a May 2002 article, “Chaos Theory”, which appeared in the “Engineering” magazine. This too is based on an interview with J. Marczyk.

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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