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 Nov 16
Event2009 IEEE 8th International Conference on Development and Learning, ICDL 2009 - Shanghai, China
Duration: 2009 Jun 52009 Jun 7

Publication series

Name2009 IEEE 8th International Conference on Development and Learning, ICDL 2009

Conference

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

ASJC Scopus subject areas

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

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    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). https://doi.org/10.1109/DEVLRN.2009.5175521