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Paperback or Softback. Zustand: New. Relative Information: Theories and Applications. Book.
Verlag: L'Aurore, 1980
ISBN 10: 2890530248 ISBN 13: 9782890530249
Anbieter: Librairie à la bonne occasion, Lévis, QC, Kanada
Broché. Zustand: Bon. ( IN FRENCH - EN FRANÇAIS ) 259 pages; Partant du fait relativiste et de l'incomplétude de la connaissance humaine comme donnée expérimentale de base, l'auteur propose une synthèse scientiique avec la cybernétique comme paradigme substrat. Il en résulte une théorie unitaire particulièrement adaptée aux sciences humaines et dont les diverses branches conduisent à de nouvelles approches de la théorie de l'information, du calcul des probabilités, de la linguistique, de la biologie et de la psychologie, le tout dans un contexte subjectiviste qui aboutit directement à la théorie des catastrophes de Thom. -------------- Broché. Couverture un peu éraflée et jaunie. Coins écornés. Livre propre à l'intérieur et solide. En bon état. Size: 8vo. Livre.
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Sprache: Englisch
Verlag: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2011
ISBN 10: 3642840191 ISBN 13: 9783642840197
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Zustand: New. pp. xxii + 258.
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Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2011
ISBN 10: 3642840191 ISBN 13: 9783642840197
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - For four decades, information theory has been viewed almost exclusively as a theory based upon the Shannon measure of uncertainty and information, usually referred to as Shannon entropy. Since the publication of Shannon's seminal paper in 1948, the theory has grown extremely rapidly and has been applied with varied success in almost all areas of human endeavor. At this time, the Shannon information theory is a well established and developed body of knowledge. Among its most significant recent contributions have been the use of the complementary principles of minimum and maximum entropy in dealing with a variety of fundamental systems problems such as predic tive systems modelling, pattern recognition, image reconstruction, and the like. Since its inception in 1948, the Shannon theory has been viewed as a restricted information theory. It has often been argued that the theory is capable of dealing only with syntactic aspects of information, but not with its semantic and pragmatic aspects. This restriction was considered a v~rtue by some experts and a vice by others. More recently, however, various arguments have been made that the theory can be appropriately modified to account for semantic aspects of in formation as well. Some of the most convincing arguments in this regard are in cluded in Fred Dretske's Know/edge & Flow of Information (The M.LT. Press, Cambridge, Mass., 1981) and in this book by Guy lumarie.
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Sprache: Englisch
Verlag: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2011
ISBN 10: 3642840191 ISBN 13: 9783642840197
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In den WarenkorbPaperback. Zustand: New. Softcover reprint of the original 1st ed. 1990.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 365949643X ISBN 13: 9783659496431
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Fractional differential calculus for non-differentiable functions | Mechanics, Geometry, Stochastics, Information Theory | Guy Jumarie | Taschenbuch | 360 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659496431 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Kluwer Boston Incorporated, 2000
ISBN 10: 0792363302 ISBN 13: 9780792363309
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Zustand: New. Presents material on three topics, namely the amount of information involved in non-random functions, the amount of information involved in non-probabilistic square matrices (which are not quantum density matrices), and a model of complex-valued fractional Brownian motion of order n defined via random walks in the complex plane. Series: Fundamental Theories of Physics. Num Pages: 289 pages, biography. BIC Classification: GPF; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 17. Weight in Grams: 1310. . 2000. 2000th Edition. hardcover. . . . .
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Zustand: New. pp. 292.
Sprache: Englisch
Verlag: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 365949643X ISBN 13: 9783659496431
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. 360.
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Zustand: New. pp. 296.
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In den WarenkorbPaperback. Zustand: Brand New. 292 pages. 9.00x6.00x0.66 inches. In Stock.
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Taschenbuch. Zustand: Neu. Maximum Entropy, Information Without Probability and Complex Fractals | Classical and Quantum Approach | Guy Jumarie | Taschenbuch | Fundamental Theories of Physics | xix | Englisch | 2010 | Springer | EAN 9789048154678 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Kluwer Boston Incorporated, 2000
ISBN 10: 0792363302 ISBN 13: 9780792363309
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. Presents material on three topics, namely the amount of information involved in non-random functions, the amount of information involved in non-probabilistic square matrices (which are not quantum density matrices), and a model of complex-valued fractional Brownian motion of order n defined via random walks in the complex plane. Series: Fundamental Theories of Physics. Num Pages: 289 pages, biography. BIC Classification: GPF; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 17. Weight in Grams: 1310. . 2000. 2000th Edition. hardcover. . . . . Books ship from the US and Ireland.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Every thought is a throw of dice. Stephane Mallarme This book is the last one of a trilogy which reports a part of our research work over nearly thirty years (we discard our non-conventional results in automatic control theory and applications on the one hand, and fuzzy sets on the other), and its main key words are Information Theory, Entropy, Maximum Entropy Principle, Linguistics, Thermodynamics, Quantum Mechanics, Fractals, Fractional Brownian Motion, Stochastic Differential Equations of Order n, Stochastic Optimal Control, Computer Vision. Our obsession has been always the same: Shannon's information theory should play a basic role in the foundations of sciences, but subject to the condition that it be suitably generalized to allow us to deal with problems which are not necessarily related to communication engineering. With this objective in mind, two questions are of utmost importance: (i) How can we introduce meaning or significance of information in Shannon's information theory (ii) How can we define and/or measure the amount of information involved in a form or a pattern without using a probabilistic scheme It is obligatory to find suitable answers to these problems if we want to apply Shannon's theory to science with some chance of success. For instance, its use in biology has been very disappointing, for the very reason that the meaning of information is there of basic importance, and is not involved in this approach.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Every thought is a throw of dice. Stephane Mallarme This book is the last one of a trilogy which reports a part of our research work over nearly thirty years (we discard our non-conventional results in automatic control theory and applications on the one hand, and fuzzy sets on the other), and its main key words are Information Theory, Entropy, Maximum Entropy Principle, Linguistics, Thermodynamics, Quantum Mechanics, Fractals, Fractional Brownian Motion, Stochastic Differential Equations of Order n, Stochastic Optimal Control, Computer Vision. Our obsession has been always the same: Shannon's information theory should play a basic role in the foundations of sciences, but subject to the condition that it be suitably generalized to allow us to deal with problems which are not necessarily related to communication engineering. With this objective in mind, two questions are of utmost importance: (i) How can we introduce meaning or significance of information in Shannon's information theory (ii) How can we define and/or measure the amount of information involved in a form or a pattern without using a probabilistic scheme It is obligatory to find suitable answers to these problems if we want to apply Shannon's theory to science with some chance of success. For instance, its use in biology has been very disappointing, for the very reason that the meaning of information is there of basic importance, and is not involved in this approach.
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