The sensibility inference function by psycho-quantum computer

Human cognition stems from his identifying the relationship or relative distance between himself and any other objects or persons, for which prerequisite is establishing his ´self´. In other words, it is presumable that the potential of intelligent machine´s establishing its ´self´ would require us to engineer its sense of ´ego´ and ´intention´, which involves such factors as ´emotions´, ´instincts´, and ´sensibilities´. This dissertation introduces the psycho-quantum theory which illustrates the human psychodynamics by the quantum mechanics approach, and its application for constructing the distribution model of emotional modalities and the autonomous system, the essential elements for creating an ego in a computer. We have attempted to create the artificial ´ego´ and ´desire´ based on our probability model and state transition analysis, then accordingly developed our methodology of the artificial thought process as well as the judging mechanism of such computer. Furthermore, this dissertation introduces the sensibility inference function of our psycho-quantum computer, by which we discuss our methods to itemize 126 emotional modalities of human, construct the three-dimensional dynamic model of emotions, and analyze the emotion distribution and its longitudinal modal transition so as to derive the artificial instinct and to determine/infer its relationship with external factors. Currently, our technology to construct the comprehensive psycho-quantum computer is yet in developmental stage; however, its potential is enormous so that it will constitute a key technology in new robotics industry.