  In this paper a number of problems are considered which are related to the
modelling of eye guidance under visual attention in a natural setting. From a
crude discussion of a variety of available models spelled in probabilistic
terms, it appears that current approaches in computational vision are hitherto
far from achieving the goal of an active observer relying upon eye guidance to
accomplish real-world tasks. We argue that this challenging goal not only
requires to embody, in a principled way, the problem of eye guidance within the
action/perception loop, but to face the inextricable link tying up visual
attention, emotion and executive control, in so far as recent neurobiological
findings are weighed up.
