  In this paper, we derive and implement a probabilistic programming idiom for
the problem of acquiring new knowledge about an environment. The idiom is
implemented utilizing a modern probabilistic programming language. We
demonstrate the utility of this idiom by implementing an algorithm for the
specific problem of active mapping and robot exploration. Finally, we evaluate
the functionality of the implementation through an extensive simulation study
utilizing the HouseExpo dataset.
