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Towards Learning by Interacting

  • Chapter
Creating Brain-Like Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5436))

Abstract

Traditional robotics has treated the question of learning as a one way process: learning algorithms, especially imitation learning approaches, are based on observing and analysing the environment before carrying out the ‘learned’ action. In such scenarios the learning situation is restricted to uni-directional communication.

However, insights into the process of infant learning more and more reveal that interaction plays a major role in transferring relevant information to the learner. For example, in learning situations, the interactive situation has the potential to highlight parts of an action by linguistic and non-linguistic features and thus to guide the attention of the learner to those aspects that the tutor deems relevant for her current state of mind.

We argue that learning necessarily needs to be embedded in an interactive situation and that developmental robotics, in order to model engagement in interaction, needs to take the communicative context into account. We further propose that such an approach necessarily needs to take three aspects into account: (1) multi-modal integration at all processing levels (2) derivation of top-down strategies from bottom-up processes and (3) integration of single modules into an interactive system in order to facilite the first two desiderata.

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Author information

Authors and Affiliations

  1. Applied Computer Science, Bielefeld University, Germany

    Britta Wrede, Katharina J. Rohlfing, Marc Hanheide & Gerhard Sagerer

  2. Institute for Cognition and Robotics (CoR-Lab), 33501, Bielefeld, Germany

    Britta Wrede, Katharina J. Rohlfing, Marc Hanheide & Gerhard Sagerer

Authors
  1. Britta Wrede
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  2. Katharina J. Rohlfing
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  3. Marc Hanheide
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  4. Gerhard Sagerer
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Editor information

Editors and Affiliations

  1. Honda Research Institute Europe GmbH, 63073 Offenbach/Main, Germany

    Bernhard Sendhoff

  2. Honda Research Institute Europe GmbH, Carl-Legien-Strasse 30, 63073, Offenbach/Main, Germany

    Edgar Körner

  3. Dept. of Psychological and Brain Sciences, Indiana University, IN 47405, Bloomington, USA

    Olaf Sporns

  4. Faculty of Technology, Neuroinformatics Group, Bielefeld University, Universitätsstr. 25, 33615, Bielefeld, Germany

    Helge Ritter

  5. Okinawa Institute of Science and Technology, Neural Computation Unit,, 12-22 Suzaki, Uruma, 904-2234, Okinawa, Japan

    Kenji Doya

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© 2009 Springer-Verlag Berlin Heidelberg

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Wrede, B., Rohlfing, K.J., Hanheide, M., Sagerer, G. (2009). Towards Learning by Interacting. In: Sendhoff, B., Körner, E., Sporns, O., Ritter, H., Doya, K. (eds) Creating Brain-Like Intelligence. Lecture Notes in Computer Science(), vol 5436. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00616-6_8

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  • DOI: https://doi.org/10.1007/978-3-642-00616-6_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00615-9

  • Online ISBN: 978-3-642-00616-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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