Irrespective Priority-Based Regular Properties of High-Intensity Virtual Environments

TL;DR

This paper explores a universal, flexible model for understanding complex mental processes and virtual environments, aiming to unify diverse cognitive and informational theories.

Contribution

It proposes a novel approach to modeling high-intensity virtual environments based on irrelative priority and regular properties.

Findings

Introduces a new theoretical framework for virtual environment modeling

Provides insights into the encoding of complex cognitive processes

Suggests potential applications in understanding human thinking

Abstract

We have a lot of relation to the encoding and the Theory of Information, when considering thinking. This is a natural process and, at once, the complex thing we investigate. This always was a challenge - to understand how our mind works, and we are trying to find some universal models for this. A lot of ways have been considered so far, but we are looking for Something, we seek for approaches. And the goal is to find a consistent, noncontradictory view, which should at once be enough flexible in any dimensions to allow to represent various kinds of processes and environments, matters of different nature and diverse objects. Developing of such a model is the destination of this article.