Adaptability and Diversity in Simulated Turn-taking Behavior

  title={Adaptability and Diversity in Simulated Turn-taking Behavior},
  author={Hiroyuki Iizuka and Takashi Ikegami},
  journal={Artificial Life},
Turn-taking behavior is simulated in a coupled-agents system. Each agent is modeled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outputs and to hold the internal dynamics. Agents are developed to take turns on a two-dimensional arena by causing the network structures to evolve. Turn taking is established using either regular or chaotic behavior of the agents. It is found that chaotic turn takers are more sensitive in response to inputs from the… CONTINUE READING
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