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Keep your options open: an information-based driving principle for sensorimotor systems.

Klyubin AS, Polani D, Nehaniv CL - PLoS ONE (2008)

Bottom Line: The central resource processed by the sensorimotor system of an organism is information.We propose an information-based quantity that allows one to characterize the efficiency of the perception-action loop of an abstract organism model.Various scenarios suggest that such a quantity could identify the preferred direction of evolution or adaptation of the sensorimotor loop of organisms.

View Article: PubMed Central - PubMed

Affiliation: Adaptive Systems Research Group, School of Computer Science, University of Hertfordshire, Hatfield, Hertfordshire, United Kingdom.

ABSTRACT
The central resource processed by the sensorimotor system of an organism is information. We propose an information-based quantity that allows one to characterize the efficiency of the perception-action loop of an abstract organism model. It measures the potential of the organism to imprint information on the environment via its actuators in a way that can be recaptured by its sensors, essentially quantifying the options available and visible to the organism. Various scenarios suggest that such a quantity could identify the preferred direction of evolution or adaptation of the sensorimotor loop of organisms.

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Setup of the experiment with the AIBO.From left to right the photographs show the minimal, zero, and maximal tilt of the AIBO's head.
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pone-0004018-g006: Setup of the experiment with the AIBO.From left to right the photographs show the minimal, zero, and maximal tilt of the AIBO's head.

Mentions: We use an AIBO ERS-210A robot dog. The robot is lying on a desk (Fig. 6). We employ only one type of action, namely setting the robot head's tilt to a value in [−1;1], and concentrate exclusively on the infra-red (IR) sensor mounted in the head of the robot and pointing along the longitudinal axis of the head. The sensor measures the distance to an obstacle in front of the head. The effective range is below 1 m. Moreover, the sensor is noisy, for example, because of the reflections from the table.


Keep your options open: an information-based driving principle for sensorimotor systems.

Klyubin AS, Polani D, Nehaniv CL - PLoS ONE (2008)

Setup of the experiment with the AIBO.From left to right the photographs show the minimal, zero, and maximal tilt of the AIBO's head.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2607028&req=5

pone-0004018-g006: Setup of the experiment with the AIBO.From left to right the photographs show the minimal, zero, and maximal tilt of the AIBO's head.
Mentions: We use an AIBO ERS-210A robot dog. The robot is lying on a desk (Fig. 6). We employ only one type of action, namely setting the robot head's tilt to a value in [−1;1], and concentrate exclusively on the infra-red (IR) sensor mounted in the head of the robot and pointing along the longitudinal axis of the head. The sensor measures the distance to an obstacle in front of the head. The effective range is below 1 m. Moreover, the sensor is noisy, for example, because of the reflections from the table.

Bottom Line: The central resource processed by the sensorimotor system of an organism is information.We propose an information-based quantity that allows one to characterize the efficiency of the perception-action loop of an abstract organism model.Various scenarios suggest that such a quantity could identify the preferred direction of evolution or adaptation of the sensorimotor loop of organisms.

View Article: PubMed Central - PubMed

Affiliation: Adaptive Systems Research Group, School of Computer Science, University of Hertfordshire, Hatfield, Hertfordshire, United Kingdom.

ABSTRACT
The central resource processed by the sensorimotor system of an organism is information. We propose an information-based quantity that allows one to characterize the efficiency of the perception-action loop of an abstract organism model. It measures the potential of the organism to imprint information on the environment via its actuators in a way that can be recaptured by its sensors, essentially quantifying the options available and visible to the organism. Various scenarios suggest that such a quantity could identify the preferred direction of evolution or adaptation of the sensorimotor loop of organisms.

Show MeSH