Description: Maximum Entropy, Information Without Probability and Complex Fractals : Classical and Quantum Approach, Hardcover by Jumarie, Guy, ISBN 0792363302, ISBN-13 9780792363309, Like New Used, Free shipping in the US 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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Book Title: Maximum Entropy, Information Without Probability and Complex Frac
Number of Pages: Xix, 270 Pages
Language: English
Publication Name: Maximum Entropy, Information Without Probability and Complex Fractals : Classical and Quantum Approach
Publisher: Springer Netherlands
Publication Year: 2000
Subject: Information Theory, Probability & Statistics / General, System Theory
Type: Textbook
Item Weight: 46.2 Oz
Item Length: 9.3 in
Author: Guy M. Jumarie
Subject Area: Mathematics, Computers, Science
Series: Fundamental Theories of Physics Ser.
Item Width: 6.1 in
Format: Hardcover
