
THE POLYNON
Measuring the
sense-data
A conceptual geometric entity that provides a measurement for conscious observations and experience.
INTRODUCING
THE POLYNON
A conceptual geometric entity that provides a measurement for conscious observations and experience.
The geometric framework
Building structures for cognitive functions: experience, emotion, and behavior, that translate into new knowledge.
is a conceptual geometric entity that provides measurement for conscious observations and experience. By dealing with a state of pre-geometry (the structure from which the geometry of a certain system develops), the proposed framework enables the advancement of human knowledge into a new era.
is a set of rules, guidelines, relationships, used to describe and analyze a set or multiple sets of data. The source of this data can be mathematics, physics, engineering, academia or any kind of disciplines.
analyzes data from cognitive mediums creating a structured environment for new dimensions of relations, emotions, actions, experiences and behavior. By providing a new way to conceptualize and understand knowledge, this geometric model allows for a more holistic view of the underlying structures and dynamics of the cognitive systems.
Considering memory, perception and the sensory systems as components of the proposed framework will reveal a more detailed structure of the objective reality. Furthermore, the definition of phenomena will rely on richer geometries, built on cognitive dimensions by introducing a new layer of data in any database, layer derived from cognitive patterns, conscious experience and relational behavior.
This new type of architecture of information, built on a geometric cognition layer, maps the road from unstructured data to experience, creating new metrics for intent, motivation, and decision. Also, the collective properties of systems can be directly derived from the topological relationships between the geometric constructs of the mind coupled with those of the phenomena on which the mind acts upon.
APPLICATIONS
Geometric models are particularly useful because they allow the analysis of complex data from any kind of environment, by leveraging the power of geometry, mathematics, machine learning and much more.
The framework enables new patterns of behavior, identifies knowledge gaps and opportunities, and enhances a new type of experience economy.
ALEXANDER MANU, MAR 2023
Clear causal sets and conditional structures
New layers of insight and ideation
Enhanced algorithms and cognitive structures
Find out more about applications of geometric cognition, cognitive geometry, neurogeometry and many more:
While the theoretical framework is being finished and the first models and applications are tested, stay updated with news, stories and insights on how the polynons were created.