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From synthetic modeling of social interaction to dynamic theories of brain–body–environment–body–brain systems

  • Tom Froese (a1) (a2), Hiroyuki Iizuka (a3) and Takashi Ikegami (a1)


Synthetic approaches to social interaction support the development of a second-person neuroscience. Agent-based models and psychological experiments can be related in a mutually informing manner. Models have the advantage of making the nonlinear brain–body–environment–body–brain system as a whole accessible to analysis by dynamical systems theory. We highlight some general principles of how social interaction can partially constitute an individual's behavior.



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