#complexity management

[raffaellopalandri]

AuDHD Cognition as Organisational Sensor Capability

Certain neurocognitive configurations, often associated with AuDHD profiles, exhibit an unusually high sensitivity to pattern discontinuities, structural inconsistency, and shifts between different layers of abstraction. Within classical organisational models, this form of perception is frequently misunderstood because it does not primarily operate through linear process logic, but through the…

[ontonix]

Complexity Science is Dead.

The so-called Complexity Science has been around for a few decades now. Chaos, as well as complexity, were buzzwords in the 1980s, pretty much like Artificial Intelligence is today. There are Complexity Institutes in many countries. They speak of Complexity Theory. In a beautiful and recent video called “The End of Science”, Sabine Hossenfelder, speaks of Complexity Science and how it has not…

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[ontonix]

Complex car electronics spark rise in breakdowns.

A recent march, 2024 article speaks of how: “figures show that increasingly complicated electronics in cars have prompted a surge in expensive breakdowns.” And yet car manufacturers seem to ignore the fundemantal fact that high complexity is a path to guaranteed vulnerability and are constantly dreaming up increasingly complex and ambitious features that will only make matters worse. While…

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[ontonix]

How Structure Leads to Information

How Structure Leads to Information

The importance of structure in physics and other branches of science cannot be overstated. Stucture is knowledge, structure is understanding. By structure we intend a map, or a graph, which reflects how information travels within a given system. In other words, we looking at the topology of all the interdependencies between the various actors, agents, or simply data channels, which compose or…

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[ontonix]

Measuring the Complexity of AI-generated Text

QCM (Quantitative Complexity Management) technology has been around for twenty years. The applications span numerous fields, such as engineering, medicine, air traffic, economics, finance, society, or pharma. QCM can measure the complexity of things and explain its nature and constitution. This allows to “select the simpler option” on scientific grounds, not based on sensations or feelings.…

Measuring the Complexity of AI-generated Text

[ontonix]

The Most Important Thing: Knowing Your Priorities

Regardles of your market, industry, context or situation, it is all about making decisions. Decision making hinges on identifying priorities, i.e. where to focus. Very often, if not always, one must cope with a limited budget (money, time, equipment, manpower, etc.) as well as constraints and conflicting requirements. And yet, decisions must be made, sometimes on the fly. Again, it is paramount…

The Most Important Thing: Knowing Your Priorities

[ontonix]

Three Reasons why Blackouts are Inevitable

Following the Spanish blackout earlier this year, our post-mortem analysis has shown how Artificial Intuition could have provided a two-day early warning. Since we only analysed very high level data, like real, estimated and planned consumption, we could only have issued an alarm but without explaining why. Given the immense economic and reputational damage that such events cause, we thought…

Three Reasons why Blackouts are Inevitable

[ontonix]

Artificial Intuition - Best Application Scenarios

Over the past twenty years, Ontonix has explored and worked on hundreds of applications of its QCM-powered Artificial Intuition technology, in many cases in industrial projects with large corporations. This blog focuses not on listing these application cases, or categorizing them. Rather, the goal is to show what conditions and contexts can motivate the usage of this unique technology regardless…

Artificial Intuition - Best Application Scenarios