Sense syncretic model toward the construction of “robot-original-language”

To syncretize and/or abstract sense information is indispensable work so that an agent can arrange behavior planning, recognize the environment and communicate with other agents. In this paper, a sense syncretic model based on the physiology and a “desire” emergence algorithm based on an evaluation of self-preservation are presented. The model and the algorithm are implemented in a real robot model. As the results of the experiments, it is suggested that the syncretized information has the possibility of application to a new human-machine communication tool: “robot-original-language”