| 書目名稱 | Maximum Entropy, Information Without Probability and Complex Fractals | | 副標(biāo)題 | Classical and Quantu | | 編輯 | Guy Jumarie | | 視頻video | http://file.papertrans.cn/628/627911/627911.mp4 | | 叢書名稱 | Fundamental Theories of Physics | | 圖書封面 |  | | 描述 | 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 w | | 出版日期 | Book 2000 | | 關(guān)鍵詞 | Brownian motion; communication; entropy; fractional Brownian motion; information; information theory; rand | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-015-9496-7 | | isbn_softcover | 978-90-481-5467-8 | | isbn_ebook | 978-94-015-9496-7Series ISSN 0168-1222 Series E-ISSN 2365-6425 | | issn_series | 0168-1222 | | copyright | Springer Science+Business Media Dordrecht 2000 |
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