@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.}
}

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