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Neuro-like growing networks basic structure for developing a strong artificial intelligence
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UDC: 004.93
Publication Language: Russian
Stuc. intelekt. 2018; 23(3):7-16
Abstract: The paper discusses a number of problematic issues in the development of artificial intelligence. Systems of formation of natural and artificial intelligence. Creating a strong artificial intelligence with artificial reason, such soft-ware tools that will give the computer the mind so that it can think, feel, perceive the world around us and experience emotions. As a basis for creating a strong artificial intelligence, multiply connected multidimensional receptor-effector neural-like growing networks (mmren-GN) are considered. Mmren-GN are an effective means of building an electronic brain for intelligent systems and robots, as they form models of the external world in the network structure, in which the main components are not numbers and computational operations, but names, concepts, events and logical connections between them. The electronic brain structure created on the basis of mmren-GN allows the robot to perceive any infor-mation from the outside world, without requiring reprogramming and retraining, to engage in dialogue, answer asked questions and, through the formation of conditioned reflexes, have the ability to learn, think logically and reflect on the entire active period "Life" of the robot.
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