The SIA of the Chinese Academy of Science Purchases OntoNet

Como, Beijing, September 9-th 2013 - The Shenyang Institute of Automation of the Chinese Academy of Sciences has purchased OntoNet™, the World´s first Quantitative Complexity Management (QCM) system. OntoNet™ employs the most recent developments in mathematics and complexity science and enables its user to actually measure the complexity of all sorts of dynamical systems. The real-time QCM engine, OntoNet™ has been under development since 2003 and has now reached its sixth release.

About the SIA

Shenyang Institute of Automation (SIA), founded at November, 1958, was first called Liaoning Institute of Electronic Technology at the beginning, and then in April, 1960 the name was changed for Institute of Automation Attached to Liaoning Branch of the Chinese Academy of Sciences. During the year 1962 and 1972 it was called Northeastern Institute of Automation of the Chinese Academy of Sciences. In 1972, the institute was formally named Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS).

By the end of 2012, there were more than 800 employees in the whole institute, including Academicians of the Chinese Academy of Engineering (CAE), more than 300 technologists with senior titles. Find out more about the SIA here.

Jacek Marczyk

Visionary, scientist, businessman and writer with over 35 years of experience in QUANTITATIVE large-scale Uncertainty and Complexity Management in diverse fields (manufacturing, finance, economics).

Author of nine books on simulation, uncertainty and complexity management, rating.

Developed in mid 90s the theory of eigenvalue orbits, a generalization of the concept of eigenvalue.

In 2000-2005 has developed the first Quantitative Complexity Theory (QCT), including a comprehensive measure of complexity.

Founded Ontonix Complexity Management in 2005 in the USA and launched in 2006 the first commercial system for MEASURING and managing complexity: OntoSpace.

In 2007 launched first on-line Resilience Rating for businesses, an objective and transparent rating system:

In 2009 delivered real-time technology to measure the complexity and stability of patients during operation or permanence in Intensive Care Units.

Developed a new theory of risk and rating published in 2009 in a book entitled "A New Theory of Risk and Rating".

Over last decade develops quantitative complexity management (QCM) technology and solutions for applications in economics, finance, Risk Rating and Management as well as in Asset Management and medicine. In the past five years works towards the democratization of ratings.

In 2013 he founded London-based Assetdyne, focusing on design of complexity-based high-performance portfolios and complexity-based asset allocation and asset management.

He is currently focusing on creating a new Rating Agency and a fund which will be managed via complexity technology (QCT).