Beyond artificial intelligence, toward engineered psychology

Artificial intelligence started with exploring concept of representation of real world in a database of an artificial system such as robot or expert system. The metaphor for artificial intelligence was a computer program. Many believed that Al-related computer programs should be written in specific programming language such as LISP or Prolog. That view changed with approach that representations and real world should have reality check mechanism that will interface the real world. The view shifted toward need of a body that will carry out sensors for a real time interaction. So-called embodied AI introduces that agents rather than programs should be metaphor for artificial intelligence. What is important is the agent-environment interaction, an intelligent behavior that will prove the representations. In this presentation we argue that it is time that we should pursue beyond the concept of AI. It is known in biology that limbic system includes both memory and emotions. So the concept such as motivations, emotions, and curiosity, among others should be included in agents. In short metaphors for AI should be personalities rather than agents. Not just behavioral environment, the genetic environment should be included in our theories of intelligent beings. In this keynote we will present a coherent theory of consequence driven systems toward the engineered psychology part of IT revolution.