Current debates regarding the possible cognitive implications

of ideas from adaptive behavior research and

dynamical systems theory would benefit greatly from a

careful study of simple model agents that exhibit

minimally cognitive behavior. This paper sketches one

such agent, and presents the results of preliminary experiments

on the evolution of dynamical neural

networks for visually-guided orientation, object discrimination

and accurate pointing with a simple

manipulator to objects appearing in its field of view