Project Omniunify: Modelling the reality of everything.

Everything in the universe including itself is an Entity, regardless of its form being physical, mental, action, absence, system, or in combination. Entity's are made up of systems of systems of Entities, which combine other entities at different scales of existence. An Entity's existence within patterns of activity are always interconnected at macros, mesos, and micros levels. No pattern is totally similar or dissimilar to any other, but is a complex relationship of simpler relationships, built up over time and space, which are bound to the cause and effect governed by the laws of nature.

Universal metadata gives form and understanding to an Entity's data. By plotting both data and metadata signatures inside a hierarchical 3d vector map, you get a fluidic and relative representation of the universe or any part of it. Relative positions are calculated using a knowledge index, distance preserving hash, and deep fuzzy logic. Quasi fractal patterns are produced which provide a snapshot of the interconnectability of Entity's and the results of their interactions.

Through the pattern recognition of snapshots and by analysing the differences between them, identifiable gaps become visible. By applying the principles of cause and effect, pseudo randomness, and bounded rationality to these gaps, predictable possible opportunities and outcomes become more reliable.

While this modelling is designed to be a interconnected theory of everything, the activity lends itself to Systems Science and Complexity Theory, Data Analysis and Visualization, Artificial Intelligence and Machine Learning, Physics and Cosmology, Social Sciences and Economics, Predictive Analytics, Environmental Science, Knowledge Representation, Cognitive Science and Psychology, and Education.

The potential applications of this research are broad, and it can be used to enhance our understanding of complex systems and improve data analysis and prediction in various domains. However, the practical implementation of these ideas would require further development and research in specific areas to make them applicable in real-world scenarios. Such as Finance and economics, weather and climate change, law enforcement, gambling, retail, urban planning, health & safety.

The project is currently finishing the first stage, and moving forward into the next stage of visualization.