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
Link To Document :
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