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Theory of knowledge --- System theory --- 681.3*H11 --- Systems, Theory of --- Systems science --- Science --- Systems and information theory: value of information--See also {681.3*E4} --- Philosophy --- System theory. --- 681.3*H11 Systems and information theory: value of information--See also {681.3*E4} --- Systèmes, Théorie des

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System theory --- 681.3*I20 --- Systems, Theory of --- Systems science --- Science --- Artificial intelligence (AI) in general; cognitive simulation; philosophical foundations --- Philosophy --- 681.3*I20 Artificial intelligence (AI) in general; cognitive simulation; philosophical foundations --- Systèmes (Analyse des). --- Systemenanalyse. --- Résolution de problème --- Problem solving --- Systèmes, Théorie des

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Deal with information and uncertainty properly and efficiently using tools emerging from generalized information theory Uncertainty and Information: Foundations of Generalized Information Theory contains comprehensive and up-to-date coverage of results that have emerged from a research program begun by the author in the early 1990s under the name "generalized information theory" (GIT). This ongoing research program aims to develop a formal mathematical treatment of the interrelated concepts of uncertainty and information in all their varieties. In GIT, as in classical information theory, uncertainty (predictive, retrodictive, diagnostic, prescriptive, and the like) is viewed as a manifestation of information deficiency, while information is viewed as anything capable of reducing the uncertainty. A broad conceptual framework for GIT is obtained by expanding the formalized language of classical set theory to include more expressive formalized languages based on fuzzy sets of various types, and by expanding classical theory of additive measures to include more expressive non-additive measures of various types. This landmark book examines each of several theories for dealing with particular types of uncertainty at the following four levels: * Mathematical formalization of the conceived type of uncertainty * Calculus for manipulating this particular type of uncertainty * Justifiable ways of measuring the amount of uncertainty in any situation formalizable in the theory * Methodological aspects of the theory With extensive use of examples and illustrations to clarify complex material and demonstrate practical applications, generous historical and bibliographical notes, end-of-chapter exercises to test readers' newfound knowledge, glossaries, and an Instructor's Manual, this is an excellent graduate-level textbook, as well as an outstanding reference for researchers and practitioners who deal with the various problems involving uncertainty and information. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Uncertainty (Information theory) --- Fuzzy systems --- Incertitude (Théorie de l'information) --- Systèmes flous --- 519.72 --- 681.3*E4 --- Information theory: mathematical aspects --- Coding and information theory: data compaction and compression; formal modelsof communication; nonsecret encoding schemes--See also {681.3*H11} --- 681.3*E4 Coding and information theory: data compaction and compression; formal modelsof communication; nonsecret encoding schemes--See also {681.3*H11} --- 519.72 Information theory: mathematical aspects --- Incertitude (Théorie de l'information) --- Systèmes flous --- Measure of uncertainty (Information theory) --- Shannon's measure of uncertainty --- System uncertainty --- Information measurement --- Probabilities --- Questions and answers --- Systems, Fuzzy --- System analysis --- Fuzzy logic --- Fuzzy systems.

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Theory of knowledge

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