Problems of Information Modeling
The level of tasks of modern information modeling requires answers to questions that are related to the very nature of information. An interpretation of its nature, its physical properties and possible ways of its transmission and storage. The ratio of information and consciousness., Which is also not fully formulated
Physical nature of information
We are talking about physical information, although until recently such a statement/formulation/ caused a lot of discussions and objections.
We do not have rigorous experiments showing the physical characteristics of information. Its physical nature follows from the general model of the world, indirect phenomena and intuitive representation. Even Marxist philosophers defined information as a material substance in accordance with the characteristics of a material object.
Information is inevitably linked to the physical representation and therefore to the limitations and possibilities associated with the laws of physics and the parts available in the universe.
Today, this is a topical practical issue for the development of intelligence modeling. Quite good algorithms and models have already been developed to describe various systems of the brain, including cognitive functions: visual pattern recognition, spatial orientation, text recognition, perception, text and image generation, and others.
The next step in cognitive modeling is the formation of abstractions from abstractions. And here, without understanding the general nature of information, we will not organize the movement further. We will not be able to build an adequate hypernetwork architecture and algorithms for these processes.
We must take into account informational effects in quantum physics: the interference of electrons on two slits, the interference of fullerenes on a lattice, quantum mechanical superposition, and others. And you need to understand how they correlate with the processes of information processing at the macro level. Quantum parallelism is one of the possibilities for describing the picture of the world.
We must also take into account transcendental informational effects. They can tell us the hidden mechanisms of information processes and serve as the basis for their modeling on neural networks. And of course, the identification of direct physical properties of information. The requirements for energy dissipation in information processes are formulated: calculations, measurements and communications. The insight gained from the analysis of computation has caused a reassessment of the understanding of information processes in other areas.
Thanks to the work of physicists Rolf and Melvin Vopson, the physical nature of information entered the scientific practice of physicists. On the basis of theoretical provisions, the setting of the experiment in 2023 has already been formulated to determine the change in the energy of an elementary particle with a change in information.
Information picture of the world.
The picture of the world is like an information array.
To develop adequate ontologies, especially to automate the process of building ontologies, we also need to understand the nature of information, understand how the original is arranged and how it works.
Qualitative transitions of information states