  The possibility to identify the nature (e.g. random or scale free) of complex
networks while performing respective random walks is investigated with respect
to autonomous agents based on Bayesian decision theory and humans navigating
through a graphic-interactive interface. The results indicate that the type of
the network (choice between random and scale free models) can be correctly
estimated in most cases.
