Robotic Society – Main Features For Base Design of Human-similar AI Robots

Abstract

Abstract In the design process of cognitive human-machine systems, focus is on novel engineered components while the human component is generally considered as known, at least at large: as the cognitive ability of a person expresses in communication, verbal and behavioral, within his or her life–sphere surroundings, whether kindergarten, school, neighborhood, work place, leisure activities, or elderly home, its characteristics are persistent patterns that emerge with biological and cognitive development during childhood and adolescence, are shaped by social interaction in adult life, and finally modified by shrinking vitality in biological aging. However, such phenomenalistic categorization is certainly inadequate as communication is actually an expression of in–system functional dynamics and their controls. It is then their high degree of interweavement across several scale levels, that also interlaces the controls of reproductive subsystems with all other functional subsystems within the human body and thus mandates a fundamental distinction between male and female cognition beyond pregnancy and maternity. As the structure of physiological couplings of functional dynamics within the human body is not understood, impact from outside on within-dynamics is analytically unforeseeable for the machine component. A recent axiomatic theory of multi–scale holistic functional biodynamics for human–body system suggests a concept for functionally equivalent virtual machines, “human–similar AI robots”, that “live” through a human life–cycle from childhood to old age, as appropriate for each sex. Connected to it is an understanding of human social life’s driving forces as anxiety about loosing (access to) life resources.