Creating novel goal-directed actions using chaotic dynamics

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

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2009 IEEE 8th International Conference on Development and Learning, ICDL 2009
DOI
出版ステータスPublished - 2009 11 16
イベント2009 IEEE 8th International Conference on Development and Learning, ICDL 2009 - Shanghai, China
継続期間: 2009 6 52009 6 7

出版物シリーズ

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

Conference

Conference2009 IEEE 8th International Conference on Development and Learning, ICDL 2009
国/地域China
CityShanghai
Period09/6/509/6/7

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム

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