Toward General AI: Consciousness Computational Modeling Under Uncertainty

The modern expert and statistical computing systems of Artificial Intelligence do not understand what they are doing when they operate under uncertainty and changing situations in the fuzzy environment. Towards a solution this problem, we propose the method, model and system of Consciousness Computational Modeling Under Uncertainty for Systems of General Artificial Intelligence. The functionality of this concept is implemented by developed methods and models of organization of neural semantic network Memory, using the self-organized Subject Area Thesaurus (Knowledge Base), of situational Fuzzy Control of data, information, knowledge and objects, Fuzzy Inference, Decision Making, Knowledge Representation, Knowledge Generalization, Knowledge Explanation, Reasoning, Systems Thinking, Cognition, Intelligent User Interface, Computational Systemic Mind, Awareness and Full Understanding of the reality. For modeling of this functionality, the main achievements of Systems Approach, Fuzzy Logic, Situational Control, Linguistics and Computer Science at whole were applied.