Creating novel goal-directed actions using chaotic dynamics

Hiroaki Arie, Tetsuro Endo, Takafumi Arakaki, Shigeki Sugano, Jun Tani

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

    2 Citations (Scopus)

    Abstract

    The present study examines the possible roles of cortical chaos in generating novel actions for achieving specified goals. The proposed neural network model consists of a sensory- forward model responsible for parietal lobe functions, a chaotic network model for premotor functions and prefrontal cortex model responsible for manipulating the initial state of the chaotic network. Experiments using humanoid robot were performed with the model and showed that the action plans for satisfying specific novel goals can be generated by diversely modulating and combining prior-learned behavioral patterns at critical dynamical states. Although this criticality resulted in fragile goal achievements in the physical environment of the robot, the reinforcement of the successful trials was able to provide a substantial gain with respect to the robustness. The discussion leads to the hypothesis that the consolidation of numerous sensory-motor experiences into the memory, meditating diverse imagery in the memory by cortical chaos, and repeated enaction and reinforcement of newly generated effective trials are indispensable for realizing an open- ended development of cognitive behaviors.

    Original languageEnglish
    Title of host publication2009 IEEE 8th International Conference on Development and Learning, ICDL 2009
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE 8th International Conference on Development and Learning, ICDL 2009 - Shanghai
    Duration: 2009 Jun 52009 Jun 7

    Other

    Other2009 IEEE 8th International Conference on Development and Learning, ICDL 2009
    CityShanghai
    Period09/6/509/6/7

    Fingerprint

    Chaos theory
    Reinforcement
    Robots
    Data storage equipment
    Consolidation
    Neural networks
    Experiments

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Vision and Pattern Recognition
    • Information Systems

    Cite this

    Arie, H., Endo, T., Arakaki, T., Sugano, S., & Tani, J. (2009). Creating novel goal-directed actions using chaotic dynamics. In 2009 IEEE 8th International Conference on Development and Learning, ICDL 2009 [5175521] https://doi.org/10.1109/DEVLRN.2009.5175521

    Creating novel goal-directed actions using chaotic dynamics. / Arie, Hiroaki; Endo, Tetsuro; Arakaki, Takafumi; Sugano, Shigeki; Tani, Jun.

    2009 IEEE 8th International Conference on Development and Learning, ICDL 2009. 2009. 5175521.

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

    Arie, H, Endo, T, Arakaki, T, Sugano, S & Tani, J 2009, Creating novel goal-directed actions using chaotic dynamics. in 2009 IEEE 8th International Conference on Development and Learning, ICDL 2009., 5175521, 2009 IEEE 8th International Conference on Development and Learning, ICDL 2009, Shanghai, 09/6/5. https://doi.org/10.1109/DEVLRN.2009.5175521
    Arie H, Endo T, Arakaki T, Sugano S, Tani J. Creating novel goal-directed actions using chaotic dynamics. In 2009 IEEE 8th International Conference on Development and Learning, ICDL 2009. 2009. 5175521 https://doi.org/10.1109/DEVLRN.2009.5175521
    Arie, Hiroaki ; Endo, Tetsuro ; Arakaki, Takafumi ; Sugano, Shigeki ; Tani, Jun. / Creating novel goal-directed actions using chaotic dynamics. 2009 IEEE 8th International Conference on Development and Learning, ICDL 2009. 2009.
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