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

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

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 proceeding › Conference contribution

7 Citations (Scopus)

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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

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title = "Using temporal information distance to locate sensorimotor experience in a metric space",

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.",

author = "N.A. Mirza and C.L. Nehaniv and K. Dautenhahn and {Te Boekhorst}, R.",

year = "2005",

language = "English",

volume = "2005",

pages = "150--157",

booktitle = "Procs 2005 Congress on Evolutionary Computation",

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TY - GEN

T1 - Using temporal information distance to locate sensorimotor experience in a metric space

AU - Mirza, N.A.

AU - Nehaniv, C.L.

AU - Dautenhahn, K.

AU - Te Boekhorst, R.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

M3 - Conference contribution

VL - 2005

SP - 150

EP - 157

BT - Procs 2005 Congress on Evolutionary Computation

ER -

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

Abstract

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