  Belief networks represent a powerful approach to problems involving
probabilistic inference, but much of the work in this area is software based
utilizing standard deterministic hardware based on the transistor which
provides the gain and directionality needed to interconnect billions of them
into useful networks. This paper proposes a transistor like device that could
provide an analogous building block for probabilistic networks. We present two
proof-of-concept examples of belief networks, one reciprocal and one
non-reciprocal, implemented using the proposed device which is simulated using
experimentally benchmarked models.
