Anticipation in simple robot navigation and learning of effects of robot's actions and changes of the environment

Abstract

We consider robot self-awareness from the point of view of temporal relation based data mining. We use rational function approximations and consider Occam's razor for fluents. In particular, we use genetic algorithms to create new assertions.