Study on the Environmental Cognition of a Self-evolving Conscious System

Abstract

This study proposes a conscious model for a robot that achieves self-evolution by evaluating whether the internal state of the conscious system is represented as pleasant or unpleasant. For the definition of pleasant and unpleasant, we adopted the "smoothness of the flow of information" in the conscious system. Thus, our proposed conscious robot is capable of self-evolving tailored to the environment in which the robot itself is placed. In other words, it is possible to identify whether or not any external information has been input, and to identify the information with time series memory.