Information's True Nature: Objective Signals vs. Subjective Knowledge Transformation
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In this episode, we introduce and explore the nature and theory of information, communication, and control, encompassing the fields of cybernetics and information science, in great detail. A set of excerpts, notably from Norbert Wiener, establishes cybernetics as a unified statistical theory of communication and control in machines and living organisms, discussing the role of feedback, the transition from Newtonian mechanics to statistics, and the development of computing machines and the nervous system. Another excerpt delves into Claude Shannon's mathematical theory of communication, which quantifies information using a logarithmic measure, introduces the concept of entropy, and discusses the capacity of discrete and continuous channels, even in the presence of noise. Finally, a third source, focusing on information science and Peter Ingwersen's cognitive models, examines the discipline's five core areas of study, drawing on the view that information is inherently linked to the user's state of uncertainty or need, and distinguishes human (cognitive) processing from machine processing of data.