Robotics & System 4

Abstract

With some simplifying assumptions System 4 can be applied to program a robot to walk in such a way that it can simulate anticipated modifications to reactionary behavioral responses to direct sensory input. In this way alternating regenerative and expressive modes can allow a hexapod robot to navigate a smooth course through obstacles identified in its path. A degree of learning is possible that can improve the robots performance with experience. This learning process implies a degree of intelligent, spanning and integrating events in space and time. It can find application to artificial intelligence in general.