The modern autonomous Expert and Statistical Systems of Artificial Intelligence (AI) cannot continuously, independently and consciously think, learn and develop. This is happening because the models, methods and technologies of their processing in these systems cannot synchronously actualized (trained), function, independently, systemically, situationally, continuously, accurately and on their own in the conditions unpredictability, uncertainty of changing situations and lack of data, information and knowledge about the objects during the process of their continuous perception from the fuzzy environmental reality. Consequently, the need arises to create self-learning, self-developing and self-organized computational intelligent systems that continuously perceive and process changing data, information and knowledge in their changing, uncertainty and previously unknown situation in the surrounding reality. To solve the above problems and to create a system of General AI, we offer the new concept of creating a Computational Intelligent System of a Reasonable and Conscious Understanding of reality under uncertainty through of developed by us following models, methods and technologies of: a) perception the reality of environment, b) self-developing memory, c) situational control of data, information, knowledge, objects, models and processes, d) presentation, generalization and explanation of knowledge, e) fuzzy inference, f) decision making, g) reasoning and thinking, h) cognition, and h) Dialog Control in communication with human, robots and systems through of the intelligent interface, which integrating this functionality into a coherent Reasonable and Conscious Understanding System of reality Under Uncertainty.
Self-Organized Intelligent Robust Control Based on Quantum Fuzzy Inference