Founder
CurrentEmotionAI aims to humanize the perception and responsiveness of computer/user interfaces by introducing and integrating a comprehensive and systematic understanding of human emotions within the greater Artificial General Intelligence project. The emotional component of the collective AI project is currently hindered by the lack of a systematic, cohesive, and functional model of human emotions. AI learning has primarily been based on language communication analysis, and productive pattern assessment, based on neural nets. Human emotions, however, have developed from animal instincts, survival patterns, and communal necessities, far more complex than “learning” through repetitive recognition. Human emotions respond to a multitude of inputs in the here and now, including all the senses, combined with past experiences, and combined with all the essentials of what it means to be human which, in turn, predispose a person toward certain proclivities and tendencies, and which shape a person’s anticipation of future events, and propel a person forward toward goals, motivations, and action/inaction. For AI to effectively develop a simulation of human emotions, a comprehensive system of the emotions from which AI can “learn” will be necessary. Dr. Bochner’s conceptualization of the human emotional system, the Relational Systems Model, offers the only known systematic model of emotions that truly reflects the great complexity of what it means to be human. The Relational Systems Model can therefore provide the knowledge base which enables AI to evolve into organically experienced interfaces that mimic human-quality personalities. Obviously, great strides in Artificial General Intelligence are attained on a daily basis, but AI will not be able to simulate human personality without referencing a cohesive and systematic model as a knowledge base. The Relational Systems Model does truly reflect the great complexity of human emotions, and thus the model provides that knowledge base.