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industrialized societies, to such an extent that nowadays, we are said to live in the
information age. Specifically, this refers to both the significance of information
(as opposed to material commodities) as well as the quantity thereof produced,
stored, and communicated every day, which has increased exponentially in the
course of the (say) last five decades. This development has given rise to the outright
novel problems of information science and data analysis such as recommendation.
Ironically, to solve these problems, we need to resort to the very devises which gave
rise to them in the first place.
“Study cybernetics!” 35 years on, Viktor Pekelis' vision could still become a
reality. In the light of the new popularity of realtime analytics, cybernetic principles
and approaches should see a renaissance - not in the all-encompassing sense of the
1950s, of course, but in a stricter, mathematical context.
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