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Mirror neurons of primates’ brain are regarded as embodiment of fundamental function for symbol emergence. We have proposed the mimesis system, which is one of implementation models of mirror neuron, based on Hidden Markov Models (HMMs). However, the system has a problem that they are unsuitable for development of behavior because motion elements are designed as fixed pattern. In this paper, we propose a novel method for the measures using by continuous and discrete hybrid HMMs. Through experiments, we show the feasibility of the hybrid HMMs for motion development.

A Simultaneous Learning Model for Behavior Recognition and Acquisition using Continuous/Discrete Hybrid HMMs