 Historically, the first paradigmatic setting of correlated information was Shannon’s work on communication (1948), which we already mentioned in the last section. Shannon considered a communication system formed by two information sites, a source and a receiver, connected via a noisy channel. He gave conclusive and extremely useful answers to questions having to do with the construction of communication codes that help maximising the effectiveness of communication (in terms of bits of information that can be transmitted) while minimizing the possibility of errors caused by channel noise. As we previously said, Shannon’s concern was purely quantitative. The logical approach to information as correlation builds on Shannon’s ideas, but is concerned with qualitative aspects of information flow , like the ones we highlighted before: what information about a ‘remote’ site (remote in terms of space, time, perspective, etc.) can be drawn out of information that is directly available at a ‘proximal’ site?