Complexity and Complexity Bounds

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…

Measuring and Tracking Complexity

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,…

On Theories, Complexity and Decision Making

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…

Increasing Cybersecurity. Locally.

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…

How To Save Democracy From Itself

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…

Complexity and Revisiting Anomaly Detection

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.…