Imitation is a process by which individuals learn to perform a behavior pat
tern as a result of observing another animal performing a similar action. D
espite a century of research and a great deal of interest, the processes un
derlying imitation remain unknown. On the basis of neural network simulatio
ns, we put forward a hypothesis for the computational processes that underl
ie imitation. This analysis suggests that imitation may occur because the o
bservational experience (which includes both the demonstrator's performance
of the target behavior and contextual cues) is composed of stimuli that ha
ve features in common with cues associated with an individual's past experi
ence. This leads us to propose a stimulus generalization hypothesis for the
mechanism underlying imitation. We suggest that a stimulus generalization
explanation for imitation has been prematurely rejected, because the comple
xity and significance of this prior experience have not been fully apprecia
ted. The hypothesis may be able to account for many reported cases of imita
tion in animals and humans. This analysis allows us to make a number of pre
dictions which are accessible to empirical test.