  We present in this paper the behavior of an artificial agent who is a member
of a crowd. The behavior is based on the social comparison theory, as well as
the trajectory mapping towards an agent's goal considering the agent's field of
vision. The crowd of artificial agents were able to exhibit arching, clogging,
and bursty exit rates. We were also able to observe a new phenomenon we called
double arching, which happens towards the end of the simulation, and whose
onset is exhibited by a "calm" density graph within the exit passage. The
density graph is usually bursty at this area. Because of these exhibited
phenomena, we can use these agents with high confidence to perform
microsimulation studies for modeling the behavior of humans and objects in very
realistic ways.
