Abstract
Ordinary learning methods need to design indexes by a human being to learn a given task; teaching signals, a fitness function or a reward function. Generally they are designed for each task and environment so that they must be re-designed if tasks or environment change. Our aim is to design universal indexes for learning of a given task, which is not needed to re-design for different tasks or environment. To realize it, we propose the evaluations for each sensory information based on organism's pleasure and pain, and the method to generate a reward by the evaluations. By refering for organism's response, the propsed method can generate a proper reward with the intuitive interaction with a human being. Our experiment confirmed that plural participants could interact with a robot and make the robot achieving a task.
