Simulating Turn-Taking Behaviours with Coupled Dynamical Recognizers

A coupled dynamical recognizer is proposed as a model for simulating turn-taking behaviour. An agent is modelled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outputs. By controlling this, agents compete to take turns on a two dimensional arena. There are two novel aspects to the present study. First, a dynamical recognizer is not only used for producing motor outputs but also to predict the other agent’s behaviour. Second, unlike a mere chasing game, turntaking behaviour is established only when each agent automatically switches from chaser to evader and vice