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Influencing Robot Learning Through Design and Social Interactions: A Balancing Framework

Marom, Yuval and Haynes, Gillian (2004) Influencing Robot Learning Through Design and Social Interactions: A Balancing Framework. [Conference Paper]

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Abstract

We present a framework for addressing a challenging trade-off between influencing the learning of a robot through design and through social interactions. We identify different kinds of influences that a designer can introduce at design time, and that an expert can introduce using social interactions, and we use these to characterise a two-dimensional design space. As well as discussing how the two sources of influence affect each other, we propose how learning performance typically varies as a result, and present some empirical findings.

Item Type:Conference Paper
Keywords:innate knowledge, acquired knowledge, nature-nurture trade-off, development and ineraction
Subjects:Computer Science > Machine Learning
Computer Science > Artificial Intelligence
Computer Science > Robotics
ID Code:4072
Deposited By:Prince, Dr Christopher G.
Deposited On:14 Apr 2005
Last Modified:11 Mar 2011 08:55

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