  We explore the critical behaviors in the dynamics of information transfer of
a biologically-inspired system by an individual-based model. "Quorum response",
a type of social interaction which has been recognized taxonomically in animal
groups, is applied as the sole interaction rule among particles. We assume a
truncated Gaussian distribution to quantitatively depict the distribution of
the particles' vigilance level and find that by fine-tuning the parameters of
the mean and the standard deviation of the Gaussian distribution, the system is
poised at a critical state in the dynamics of information transfer. We present
the phase diagrams to exhibit that the phase line divides the parameter space
into a super-critical and a sub-critical zone, in which the dynamics of
information transfer varies largely.
