  Various properties of relative entropy have led to its widespread use in
information theory. These properties suggest that relative entropy has a role
to play in systems that attempt to perform inference in terms of probability
distributions. In this paper, I will review some basic properties of relative
entropy as well as its role in probabilistic inference. I will also mention
briefly a few existing and potential applications of relative entropy to
so-called artificial intelligence (AI).
