Abstract
One of the techniques for constructing an adaptive multi-agent system on the basis of evolutionary robotics (ER) is to generate robot behaviour suitable for an environment. However, even through careful examination, it is difficult to understand the strategies and features that are indicated by robot behaviours. Therefore, we have focussed on the environmental information used for the behaviour of robots. In this study, we attempt to construct an analytical method by using the recognition of a change in the information that affects a robot behavioural strategy. We propose a functional circle that describes the abstract functional relationships between robots and objects in their world for analysis of perception mechanisms and show the world of recognition by using self-organizing maps (SOM).
