 The arguably most significant development of the coherence theory in recent years has been the revival of C. I. Lewis’s work and the research program he inspired by translating parts of the coherence theory into the language of probability. The kind of coherence in question should be distinguished from a probability function being coherent in the sense of conforming to the axioms of the probability calculus. The theory of coherence that we are concerned with here is an application of such coherent probability functions to model coherence as mutual support, agreement etc. Thus “probabilistic coherence” means something else than it does in standard Bayesian theories. The probabilistic translations of coherence theory has made it possible to define concepts and prove results with mathematical precision. It has also led to increased transferability of concepts and results across fields, e.g., between coherence theory and confirmation theory as it is studied in philosophy of science. As a result, the study of coherence has developed into an interdisciplinary research program with connections to philosophy of science, cognitive psychology, artificial intelligence and philosophy of law. The rest of this article will be devoted to this recent transformation of the subject.