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Semiotic information theory
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Semiotic information theory : ウィキペディア英語版
Semiotic information theory

Semiotic information theory considers the information content of signs and expressions as it is conceived within the semiotic or sign-relational framework developed by Charles Sanders Peirce.
==Information and uncertainty==

The good of information is its use in reducing our uncertainty about some issue that comes before us. Generally speaking, uncertainty comes in several flavors, and so the information that serves to reduce uncertainty can be applied in several different ways. The situations of uncertainty that human agents commonly find themselves facing have been investigated under many headings, literally for ages, and the classifications that subtle thinkers arrived at long before the dawn of modern information theory still have their uses in setting the stage of an introduction.
For example, the philosopher-scientist Immanuel Kant divided the principal questions of human existence into three parts:
:
* What is true?
:
* What should be done?
:
* What can we hope for?
The third question is a bit too subtle for the present frame of discussion, but the first and second are easily recognizable as staking out the two main axes of information theory, namely, the dual dimensions of ''information'' and ''control''. Roughly the same space of concerns is elsewhere spanned by the dual axes of ''competence'' and ''performance'', ''specification'' and ''optimization'', or just plain ''knowledge'' and ''skill''.
A question of ''what is true'' is a ''descriptive question'', and there exist what are called ''descriptive sciences'' devoted to answering descriptive questions about any domain of phenomena that one might care to name.
A question of ''what should be done'', in other words, what must be done by way of achieving a given aim, is a ''normative question'', and there exist what are called ''normative sciences'' devoted to answering normative questions about any domain of problems that one might care to address.
Since information plays its role on a stage set by uncertainty, a big part of saying what information is will necessarily involve saying what uncertainty is. There is little chance that the vagueness of a word like 'uncertainty', given the nuances of its ordinary, poetic, and technical uses, can be herded by a particular writing utensil, but there do exist established models and formal theories that address definable aspects of uncertainty, and these have enough uses to make them worth looking into.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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