This paper presents a possible future direction for agent-based
simulation using complex agents that can learn from experience and report
their individual evaluations. Adding learning to the agent model permits
the simulation of potentially important agent behavior such as curiosity.
The agents can then report evaluations of a design that are situated in
their individual experience. The paper describes the architecture of
curious agents used in the situated evaluation of designs. It then
describes an example of the application of such curious agents in the
evaluation of the curating of an exhibition in an art gallery.