Learning from examples is the process of
inductively discovering general rules from exposure to
specific examples. This mechanism has been
thoroughly studied and several models have been
proposed [3, 14, 16]. However useful, inductive
learning does not take advantage of an important
source of knowledge, namely prior knowledge.
Human learning is not the sole result of exposure to
random examples. Rather, built-in mechanisms (e.g.,
pain), and social structures (e.g., the family, school)
account for much of humans ability to efficiently learn
complex problems. Much effort has recently been
expended in understanding the sources and use of
prior knowledge in learning