Spontaneous behavior for cooperation through interaction: An emotionally intelligent robot system

This paper deals withspontaneous behavior for cooperation through interaction in a distributed autonomous robot system. Though a human gives the robots evaluation functions for the relation of cooperation among robots, each robot decides its behavior depending on its environment, its experience, and the behavior of other robots. The robot acquires a model of the behavior of the other robots through learning. Inspired by biological systems, the robot's behaviors are interpreted as emotional by an observer of the system. In psychology, the emotions have been considered to play important roles for generation of motivation and behavior selection. In this paper, the robot's behaviors are interpreted as follows: each robot feels frustration when its behavior decision does not fit its environment. Then, it changes its behavior to change its situation actively and spontaneously. The results show potential of intelligent behavior by emotions.

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