Using temporal information distance to locate sensorimotor experience in a metric space

Information distance is used to measure how similar sensorimotor experience is to past experience within a certain temporal horizon. Applied to groups of sensors this gives a mathematical metric on sensorimotor experience over time. We show that for complex data from a robot, large scale similarity of experience can be discovered from the robot perspective, providing a means of building an experiential interaction history.

• Type: Conference
• Year: 2005
• Where: CEC
• Authors: Naeem Assif Mirza, Chrystopher L. Nehaniv, Kerstin Dautenhahn, I. René J. A. te Boekhorst
• Keywords: Artificial Intelligence, CEC 2005, Certain Temporal Horizon, Sensorimotor Experience, Similar Sensorimotor Experience