Modeling of Computational Systemic Deep Mind Under Uncertainty

Abstract

In this paper are considered a computational model, method and system of Modeling of Computational Systemic Deep Mind. This system is capable to operate under uncertainty, without the use of human intelligence and generate inferences, expressed in internal and external languages of representation of these reasoning. The use of this system is oriented on the introduction in the Complex Adaptive Systems as a plug-in, enabling these systems to be self-organized and operate computationally, intellectually, autonomously, systemically, in real time, in the inhomogeneous subject areas and in unknown in advance situations and scenarios of processing. These possibilities are realized in proposed system by the processes of computational of Perception, Reasoning, Systemic Thinking and Cognition, using our self-developed methods of application of principles of Systems Approach and Situational Control, main aspects of Fuzzy Logic, Linguistics, Computational Mind, Cognitive Science and of methods of: a) Perception the reality of environment, b) Situational Fuzzy Control of data, information, knowledge, objects, models and processes, c) Representation, Generalization and Explanation of Knowledge, d) Fuzzy Inference, e) Decision making, f) Intelligent User Interface, g) Control of Dialogue, h) Reasoning and Systems Thinking, and i) Cognition, using these methods systemically and at whole.