  A group of intelligent agents which fulfill a set of tasks in parallel is
represented first by the tensor multiplication of corresponding processes in a
linear logic game category. An optimal itinerary in the configuration space of
the group states is defined as a play with maximal total reward in the
category. New moments also are: the reward is represented as a degree of
certainty (visibility) of an agent goal, and the system goals are chosen by the
greatest value corresponding to these processes in the system goal lattice.
