Construct · 4 fields · 5 citations
One name. Different field. Different construct. One map.
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The amount by which a message reduces uncertainty about which of several possible outcomes has occurred, measured in bits and computed from the probabilities of those outcomes. Shannon's 1948 A Mathematical Theory of Communication defined this quantity through entropy, the average surprise of a source, and deliberately set aside what a message means: two messages that are equally improbable carry the same number of bits whether one is profound and the other is gibberish. The referent is a statistical property of a source and channel, not the truthful content a philosopher weighs, the trade secret an economist prices, or the coded sequence a biologist reads in DNA.[1]
Knowledge about the quality, price, or intentions behind a transaction that is costly to obtain and often held unevenly by the parties to a trade. Stigler's 1961 The Economics of Information treated search for a better price as a costly activity worth modelling, and Akerlof's 1970 The Market for "Lemons" showed that when a seller knows more than a buyer, this asymmetry can drive good goods out of the market. Here information is a scarce economic good whose distribution shapes prices and behaviour, unlike the meaning-free bit count of information theory, the truthful content of philosophy, or the chemical instructions in a gene.[2][3]
The precise order of bases along a strand of DNA or RNA that specifies the order of amino acids in a protein. Crick's 1970 Central Dogma of Molecular Biology framed this as directional: sequence information flows from nucleic acid to protein and cannot flow back out of protein into nucleic acid. The referent is a physical, chemical ordering that a cell copies and translates, not an abstract bit count, a scarce market good, or a truthful proposition, even though a biologist may borrow the language of coding and readout to describe it.[4]
Content that is well-formed, meaningful, and true, so that a false statement does not count as information at all but as misinformation. Floridi's 2004 Outline of a Theory of Strongly Semantic Information argued that Shannon's account measures data without regard to meaning or truth, and proposed a stronger notion in which truthfulness is a requirement rather than an optional extra. Here information is a property of meaningful, accurate content, in direct contrast with the meaning-free bit count of information theory, the priced knowledge of economics, and the chemical sequence of biology.[5]
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