DocumentCode
445464
Title
Sensorimotor experience and its metrics: informational geometry and the temporal horizon
Author
Nehaniv, Chrystopher L.
Author_Institution
Sch. of Comput. Sci., Algorithms, Hertfordshire Univ., Hatfield
Volume
1
fYear
2005
fDate
5-5 Sept. 2005
Firstpage
142
Abstract
We introduce metrics on sensorimotor experience at various temporal scales based on information-theory. 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
Keywords
information theory; robots; sensor fusion; Hausdorff metric; Shannon information theory; agent flow model; embodied agent sensorimotor variables; information sources; information-theory; informational geometry; metric axioms; temporal experiential information distance; temporal horizon; Computational geometry; Computer science; Extraterrestrial measurements; Frequency estimation; Information geometry; Mutual information; Orbital robotics; Organisms; Random variables; Robot sensing systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Conference_Location
Edinburgh, Scotland
Print_ISBN
0-7803-9363-5
Type
conf
DOI
10.1109/CEC.2005.1554678
Filename
1554678
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