ANALYSIS OF COGNITIVE FUNCTIONS IN STRESS SITUATIONS FOR BUILDING ARTIFICIAL INTELLIGENCE
The formation of the information structure of artificial intelligence is closely related to the methods of formal description of the cognitive functions of the human brain (algebraic biology, algorithmic description and construction of mathematical models). In real life, there is usually no complete information about the state of the external environment, so it is believed that the brain's ability to make probabilistic predictions is one of the forms of intellectual activity. Perhaps, the "learning matrix" of the brain chooses the "correct" algorithms for solving the problem by forecasting, creating an "internal model of the external world" corresponding to the real situation, and the processes of probabilistic forecasting are implemented by the range of readiness of all body systems for expected events. Probabilistic forecasting is based on the rules of information processing by the human brain.
Authors
- Nataliya Ryabchikova
- Sergey Sychev
- Anastasiya Bulankina
Institutions
- Moscow State Agroengineering University named after V.P. Goryachkin (RU)
Publication Details
- Published
- 2024-12-30
- DOI
- https://doi.org/10.62105/conferencearticle_67730e28de0800.54749713
- Primary Topic
- Technology and Human Factors in Education and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00