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

N.A. Mirza, C.L. Nehaniv, K. Dautenhahn, R. Te Boekhorst

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)
    26 Downloads (Pure)

    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 languageEnglish
    Title of host publicationProcs 2005 Congress on Evolutionary Computation
    Pages150-157
    Volume2005
    Publication statusPublished - 2005

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