Nonlinear Dynamics for Conversational Agents
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概要
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Much information about social interactions has been obtained from detailed analysis of human conversations[1]. Interactions in dialog tend to be context dependent, exhibit temporal or rhythmic patterns, and exhibit robustness through self repair mechanisms. These dynamical properties of social interaction can be succinctly modeled by nonlinear dynamical systems.
- 一般社団法人電子情報通信学会の論文
- 1997-03-06