@misc{cogprints4072, volume = {117}, editor = {Luc Berthouze and Hideki Kozima and Christopher G. Prince and Giulio Sandini and Georgi Stojanov and Giorgio Metta and Christian Balkenius}, title = {Influencing Robot Learning Through Design and Social Interactions: A Balancing Framework}, author = {Yuval Marom and Gillian Haynes}, publisher = {Lund University Cognitive Studies}, year = {2004}, pages = {75--82}, keywords = {innate knowledge, acquired knowledge, nature-nurture trade-off, development and ineraction}, url = {http://cogprints.org/4072/}, 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.} }