University of Hertfordshire

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Learning affordances of consummatory behaviors: motivation-driven adaptive perception

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Learning affordances of consummatory behaviors : motivation-driven adaptive perception. / Cos, I.; Cañamero, Lola; Hayes, G.

In: Adaptive Behavior, Vol. 18, No. 3-4, 2010, p. 285-314.

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Author

Cos, I. ; Cañamero, Lola ; Hayes, G. / Learning affordances of consummatory behaviors : motivation-driven adaptive perception. In: Adaptive Behavior. 2010 ; Vol. 18, No. 3-4. pp. 285-314.

Bibtex

@article{bd4519c561034890a484b6d13b5bbc8b,
title = "Learning affordances of consummatory behaviors: motivation-driven adaptive perception",
abstract = "This article introduces a formalization of the dynamics between sensorimotor interaction and homeostasis, integrated in a single architecture to learn object affordances of consummatory behaviors. We also describe the principles necessary to learn grounded knowledge in the context of an agent and its surrounding environment, which we use to investigate the constraints imposed by the agent{\textquoteright}s internal dynamics and the environment. This is tested with an embodied, situated robot, in a simulated environment, yielding results that support this formalization. Furthermore, we show that this methodology allows learned affordances to be dynamically redefined, depending on object similarity, resource availability, and the rhythms of the agent{\textquoteright}s internal physiology. For example, if a resource becomes increasingly scarce, the value assigned by the agent to its related effect increases accordingly, encouraging a more active behavioral strategy to maintain physiological stability. Experimental results also suggest that a combination of motivation-driven and affordance learning in a single architecture should simplify its overall complexity while increasing its adaptivity.",
keywords = "sensorimotor interaction, homeostasis, affordance, motivation, robotics",
author = "I. Cos and Lola Ca{\~n}amero and G. Hayes",
year = "2010",
doi = "10.1177/1059712310375471",
language = "English",
volume = "18",
pages = "285--314",
journal = "Adaptive Behavior",
issn = "1059-7123",
publisher = "SAGE Publications Ltd",
number = "3-4",

}

RIS

TY - JOUR

T1 - Learning affordances of consummatory behaviors

T2 - motivation-driven adaptive perception

AU - Cos, I.

AU - Cañamero, Lola

AU - Hayes, G.

PY - 2010

Y1 - 2010

N2 - This article introduces a formalization of the dynamics between sensorimotor interaction and homeostasis, integrated in a single architecture to learn object affordances of consummatory behaviors. We also describe the principles necessary to learn grounded knowledge in the context of an agent and its surrounding environment, which we use to investigate the constraints imposed by the agent’s internal dynamics and the environment. This is tested with an embodied, situated robot, in a simulated environment, yielding results that support this formalization. Furthermore, we show that this methodology allows learned affordances to be dynamically redefined, depending on object similarity, resource availability, and the rhythms of the agent’s internal physiology. For example, if a resource becomes increasingly scarce, the value assigned by the agent to its related effect increases accordingly, encouraging a more active behavioral strategy to maintain physiological stability. Experimental results also suggest that a combination of motivation-driven and affordance learning in a single architecture should simplify its overall complexity while increasing its adaptivity.

AB - This article introduces a formalization of the dynamics between sensorimotor interaction and homeostasis, integrated in a single architecture to learn object affordances of consummatory behaviors. We also describe the principles necessary to learn grounded knowledge in the context of an agent and its surrounding environment, which we use to investigate the constraints imposed by the agent’s internal dynamics and the environment. This is tested with an embodied, situated robot, in a simulated environment, yielding results that support this formalization. Furthermore, we show that this methodology allows learned affordances to be dynamically redefined, depending on object similarity, resource availability, and the rhythms of the agent’s internal physiology. For example, if a resource becomes increasingly scarce, the value assigned by the agent to its related effect increases accordingly, encouraging a more active behavioral strategy to maintain physiological stability. Experimental results also suggest that a combination of motivation-driven and affordance learning in a single architecture should simplify its overall complexity while increasing its adaptivity.

KW - sensorimotor interaction

KW - homeostasis

KW - affordance

KW - motivation

KW - robotics

UR - http://www.scopus.com/inward/record.url?scp=77955723122&partnerID=8YFLogxK

U2 - 10.1177/1059712310375471

DO - 10.1177/1059712310375471

M3 - Article

VL - 18

SP - 285

EP - 314

JO - Adaptive Behavior

JF - Adaptive Behavior

SN - 1059-7123

IS - 3-4

ER -