Emergence of interactive behaviors between two robots by prediction error minimization mechanism

Yiwen Chen, Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    This study demonstrates that the prediction error minimization (PEM) mechanism can account for the emergence of reciprocal interaction between two cognitive agents. During interactive processes, alternation of forming and deforming interactions may be triggered by various internal and external causes. We focus in particular on external causes derived from a dynamic and uncertain environment. Two small humanoid robots controlled by an identical dynamic neural network model using the PEM mechanism were trained to achieve a set of coherent ball-playing interactions between them. The two robots predict each other in a top-down way while they try to minimize the prediction errors derived from the unstable ball dynamics or the external cause in a bottom-up way by using the PEM mechanism. The experimental results showed that switching among the set of trained interactive ball plays between the two robots appears spontaneously. The analysis clarified how each complementary behavior can be generated via mutual adaptation between the two robots by undertaking top-down and bottom-up interaction in each individual dynamic neural network model by using the PEM mechanism.

    Original languageEnglish
    Title of host publication2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages302-307
    Number of pages6
    ISBN (Electronic)9781509050697
    DOIs
    Publication statusPublished - 2017 Feb 7
    Event2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016 - Cergy-Pontoise, France
    Duration: 2016 Sep 192016 Sep 22

    Other

    Other2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016
    CountryFrance
    CityCergy-Pontoise
    Period16/9/1916/9/22

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Cognitive Neuroscience
    • Developmental Neuroscience

    Fingerprint Dive into the research topics of 'Emergence of interactive behaviors between two robots by prediction error minimization mechanism'. Together they form a unique fingerprint.

  • Cite this

    Chen, Y., Murata, S., Arie, H., Ogata, T., Tani, J., & Sugano, S. (2017). Emergence of interactive behaviors between two robots by prediction error minimization mechanism. In 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016 (pp. 302-307). [7846838] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DEVLRN.2016.7846838