How Hierarchical Control Self-organizes in Artificial Adaptive Systems

  title={How Hierarchical Control Self-organizes in Artificial Adaptive Systems},
  author={Rainer W. Paine and Jun Tani},
  journal={Adaptive Behavior},
  pages={211 - 225}
Diverse, complex, and adaptive animal behaviors are achieved by organizing hierarchically structured controllers in motor systems. The levels of control progress from simple spinal reflexes and central pattern generators through to executive cognitive control in the frontal cortex. Various types of hierarchical control structures have been introduced and shown to be effective in past artificial agent models, but few studies have shown how such structures can self-organize. This study describes… 

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