In previous woks we have introduced a distributed neural architecture for the generation of complex behaviors in evolutionary robotics. In this paper we show how this architecture is able to create its own categories about the sensed world of a robot by direct interaction of the body with the environment. The distributed elements of the architecture cooperate to express the categories on an inner world that is easily accessible from the outside. We conclude the paper with an explanation of how the inner world created by the robot can be used to gain some insight into the mind-body problem.

Peer Reviewed