What is information?

The notion of information has so far been quantified mostly in statistical terms, giving rise to Shannonpsilas information theory and the principles of digital data transmission. Modern systems involving complex, intelligent, and autonomous agents call for a new look at the measures of information, where context, semantics, structures, and rationality are of paramount importance, especially for applications to biology, chemistry, physics, and economics. In this essay we propose a framework for measuring information inspired by the event-driven approach. We then illustrate our definition on some examples ranging from distributed systems to biology and economics.