  We present preliminary results on the problem of driving the dynamics of a
group of agents, the herders, so as to steer the collective behaviour of
another group of agents, the targets, interacting with them. We define this
problem as the multiagent herding control problem and study the herdability of
the target agents by relaxing some strong assumptions often made in the
existing literature, namely that targets are cohesive in the absence of herders
and that herders possess global information. We find that scaling laws exist
linking crucial parameters such as the herders' sensing radius and the targets
density with the herdability of the system. Our most surprising observation,
supported by exhaustive numerical experiments, is that the crucial effect of
limited sensing is that the minimum number of herders required to solve the
problem significantly increases below a critical minimum density of the target
agents.
