  In this paper we argue that no forms of Turing test are either necessary or
sufficient to establish if a machine is conscious or not. Furthermore, from a
modeling point of view, the problem is that the Turing test does not really
provide testable predictions. We believe that the model structure should
explain the function (of consciousness). We argue that the cornerstone of any
model on consciousness is to (partly) overcome the obstacle of the homunculus
fallacy about the use of representations. In this contribution a possible
solution is suggested, which makes use of reflexive architectures. The emerging
computational constraints on the proposed architecture have lead to testable
predictions on the dynamical behavior of the biological substrate.
Interestingly, these predictions are in good agreement with recent experimental
observations.
