Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Procs 2005 Congress on Evolutionary Computation |
| Pages | 150-157 |
| Volume | 2005 |
| Publication status | Published - 2005 |