A fundamental property of the complexity metric developed by Ontonix is that it has bounds – a lower and an upper bound. This means that it cannot assume infinite values (both negative and positive). If it could it wouldn’t be a good metric. All good metrics satisfy the laws of physics For example, a temperature…
Jacek Marczyk Ph.D., Balachandra Deshpande Ph.D. (2007) 1. Introduction The study of complex systems such as the biosphere, gene expression data or the climate, has led to an increased understanding of their behaviour and characteristics and only now are we appreciating their overwhelming complexity. One common denominator of all these systems is, obviously, complexity. However,…
Every year the World Bank publishes its Development Indicators data, which we analyze in order to measure and track the resilience (fragility) and complexity of countries, macro regions and of the world as a system. The goal is to produce strategic systemic information for governments and government agencies especially in the context of management of disasters,…
Each year the World Bank publishes its Development Indicators data, which we analyze in order to measure and track the resilience and complexity of countries, macro regions and of the world as a system. The goal is to extract strategic and systemic information which may be useful to governments and government agencies especially in the…
In highly complex contexts, or when one runs out of arguments in a debate, it is customary to resort to elaborate conspiratory theories. Theories are constructed based on a set of data points. When many data points are available, one can construct many theories. The problem is that all these theories will agree in the…
The covid-19 has accentuated the fragmentation of the European Union. In a moment of political fragility we have performed a resilience rating analysis of the union as a whole as well as of the individual countries and specific macro regions. The idea is to perform a preliminary and simple assessment of how each country could…
March 27-th, 2020. The coronavirus has been with us for a few weeks now. The amount of information, speculation, fake news, statistics, extrapolations and more or less credible and sinister and conspiratory theories, is overwhelming. It is easy to have an impression, it is more difficult to have an opinion. It is very easy to…
A recent blog by CISCO speaks of how QCM – Quantitative Complexity Management – is used in anomaly detection in highly complex systems and contexts. In particular, it speaks of QCM as being able to detect the existence of an anomaly without having seen it before. Such capability goes beyond Machine Learning in that QCM…
Prologue from “Governing a Liquid Society – How to Save Democracy From Itself” In the past the Earth was populated by numerous civilizations. The Greeks, the Incas, or the Romans are just a few egregious examples. Because the temporal and spatial correlation between those civilizations was often non-existent, or very limited, if one happened…
Wikipedia: “In data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text.…
