Sensorimotor experience and its metrics: informational geometry and the temporal horizon

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

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    We introduce metrics on sensorimotor experience
    at various temporal scales based on informationtheory.
    Sensorimotor variables through which the experience
    of an agent flows are modeled as information
    sources in the sense of Shannon information theory. Information
    distance between the constellation of an embodied
    agent's sensorimotor variables at different moments
    in time can be taken variable-by-variable or between
    entire sets of such variables to yield two classes of
    metrics on sensorimotor experience: the temporal experiential
    information distance and the Hausdorff metric on
    experience. Unlike mutual information, these measures
    each satisfy the metric axioms and thus induce a geometry
    on the space of experiences with the same temporal
    scope. Continuity of maps between experiential spaces
    as well as robotic applications and extensions are discussed.
    Original languageEnglish
    Title of host publicationProcs of 2005 IEEE Congress on Evolutionary Computation
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    ISBN (Print)0-7803-9363-5
    Publication statusPublished - 2005


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