A Computational Situationally Self-controlled Brain and Mind Interface Under Uncertainty

The modern computational Interface of Artificial Intelligence cannot independently, continuously and without reprogramming it by Human Intelligence, think, understand, be conscious, aware, cognize, infer, self-learn, and self-develop under uncertainty and changing environmental objects and situations over time. The article explores the model and implementation method of Computational Situationally Self-Controlled Brain and Mind Interface Under Uncertainty (CSSCBMIUU), representing the plausibility of Human Intelligence in the form of the next generation Artificial Intelligence computing system, using the Computational Memory and modeling of the Computing Systemic Thinking, Awareness, Consciousness, Cognition, Intuition, and Wisdom of Computational Brain and Computational Mind under uncertainty and changing environmental objects and situations in time. In doing so, the perceived objects are computationally identified, interpreted, classified, structured and stored in Computational Memory in the form of psycholinguistic and cognitive values of categories, features, and images in the revealed domain based on processing data, information, knowledge and images, stored in computational repositories. For investigation of the above-mentioned possibilities of the proposed Interface, have been applied the principles of Situational Control, Fuzzy Logic, Psycholinguistics, Informatics, and Data Science.