#complexity map

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…

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 technology developed by Ontonix is particularly relevant in today’s world, where the complexity of systems and manufacturing processes is increasing due to technological advancements, globalization, and interconnectedness. This increasing complexity is becoming a new and insidious source of risk. Complexity-induced risk cannot be understood and countered with traditional means due to one key…

Car crash simulation is performed by means of explicit Finite Element models, containing many millions of elements. These models are computationally intensive and parallel computing is used to perform the task. Evidently, the reason car crash is simulated in computers is to reduce and/or avoid expensive physical testing. Abundant literature is available on the subject. The present blog will…

Generative Artificial Intelligence has the capability of generating fakes that are indistinguishable from the real thing. Clearly, in order to say that, we must have the real thing as a point of reference. Not always we do. Suppose that one generates the image of a “new” painting by Leonardo da Vinci, a painting that supposedly hasn’t been discovered yet. Clearly, we’re speaking of an image of a…

Quantitative Complexity Management applications are limitless. Wherever there is data, QCM can provide new insights, knowledge and deeper understanding of how systems and processes function. The gallery of Complexity Maps provides a small overview of the numerous applications of the QCM which we have explored and researched since 2005. Vist Gallery.

QCM Applied to Bridge Monitoring and Maintenance

Bridges, regardless of type, must maintain their performance throughout their useful life. Maintaining these features requires continuous monitoring of its state of conservation so that the resources necessary to keep the bridge in service can be optimized, decide the optimal time for its replacement (from an economic perspective) or control the risks of maintaining its use in such a way as to…

Complexity and Measuring Thought

A few days ago I asked four friends to participate in an interesting experiment. I aksed them to use a computer drawing tool to quickly scribble an image that would reflect their current state of mind. Each person had only five seconds to produce their own image. The tool used for the purpose was Paint and the goal of the experiment was to use complexity to “measure” the state of mind of each…