Automaton-Based Anticipatory System

A lot of research for anticipatory systems have been reported, where the chaotic equation including the hyper incursion equation plays an important role. The neural network model is also included in such a category and will continue to be discussed. From the viewpoint of computer systems, however, we have proposed a hybrid system architecture mixed with neural network and artificial intelligence, where the two-level structure is introduced ; the first layer : a neural network, and the second layer : an automaton system. On the two-layered system, the automaton part is dominant for anticipation, because the state transition is made by an automaton behavior although the selection among transitions is made by a neural network. In this paper, we discuss an automaton-based anticipation, since it is appropriate to discuss anticipation together with learnability.