Concept of Artificial Kansei

- Challenge to New Artificial Intelligence -

Abstract

Our purpose in this paper is to propose the concept of “artificial Kansei/sensibility”. In recent years, artificial intelligence (AI) has been the focus of many people, but here we propose the basic concept of "artificial Kansei/sensibility" as a superordinate concept of artificial intelligence (AI). AI is good at deductive and inductive reasoning. Deep learning and machine learning are often performed based on deductive or inductive reasoning. Furthermore, AI cannot deal with abduction. The concept of artificial Kansei/sensibility proposed in this paper provides a methodology that can handle abduction and transilient inference, so that our new concept will extend current AI technology to treat GAN(Generative Adversarial Networks) .