Embodied Symbol Emergence Based on Mimesis Theory. Inamura, T., Toshima, I., Tanie, H., & Nakamura, Y. The International Journal of Robotics Research, 23(4-5):363-377, 2004.
Embodied Symbol Emergence Based on Mimesis Theory [link]Paper  doi  abstract   bibtex   
�Mimesis� theory focused in the cognitive science field and �mirror neurons� found in the biology field show that the behavior generation process is not independent of the behavior cognition process. The generation and cognition processes have a close relationship with each other. During the behavioral imitation period, a human being does not practice simple joint coordinate transformation, but will acknowledge the parents� behavior. It understands the behavior after abstraction as symbols, and will generate its self-behavior. Focusing on these facts, we propose a new method which carries out the behavior cognition and behavior generation processes at the same time. We also propose a mathematical model based on hidden Markov models in order to integrate four abilities: (1) symbol emergence; (2) behavior recognition; (3) self-behavior generation; (4) acquiring the motion primitives. Finally, the feasibility of this method is shown through several experiments on a humanoid robot.
@Article{Inamura2004,
  Title                    = {Embodied Symbol Emergence Based on Mimesis Theory},
  Author                   = {Inamura, T. and Toshima, I. and Tanie, H. and Nakamura, Y.},
  Journal                  = {The International Journal of Robotics Research},
  Year                     = {2004},
  Number                   = {4-5},
  Pages                    = {363-377},
  Volume                   = {23},

  Abstract                 = {�Mimesis� theory focused in the cognitive science field and �mirror neurons� found in the biology field show that the behavior generation process is not independent of the behavior cognition process. The generation and cognition processes have a close relationship with each other. During the behavioral imitation period, a human being does not practice simple joint coordinate transformation, but will acknowledge the parents� behavior. It understands the behavior after abstraction as symbols, and will generate its self-behavior. Focusing on these facts, we propose a new method which carries out the behavior cognition and behavior generation processes at the same time. We also propose a mathematical model based on hidden Markov models in order to integrate four abilities: (1) symbol emergence; (2) behavior recognition; (3) self-behavior generation; (4) acquiring the motion primitives. Finally, the feasibility of this method is shown through several experiments on a humanoid robot.},
  Doi                      = {10.1177/0278364904042199},
  Eprint                   = {http://ijr.sagepub.com/content/23/4-5/363.full.pdf+html},
  Keywords                 = {motion primitive},
  Timestamp                = {2011.01.06},
  Url                      = {http://ijr.sagepub.com/content/23/4-5/363.abstract}
}

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