| 書目名稱 | Variation Principle in Informational Macrodynamics | | 編輯 | Vladimir S. Lerner | | 視頻video | http://file.papertrans.cn/981/980543/980543.mp4 | | 叢書名稱 | The Springer International Series in Engineering and Computer Science | | 圖書封面 |  | | 描述 | Information Macrodynamics (IMD) belong to an interdisciplinary science that represents a new theoretical and computer-based methodology for a system informational descriptionand improvement,including various activities in such areas as thinking, intelligent processes, communications, management, and other nonphysical subjects with their mutual interactions, informational superimposition, and theinformation transferredbetweeninteractions. The IMD is based on the implementation of a single concept by a unique mathematical principle and formalism, rather than on an artificial combination of many arbitrary, auxiliary concepts and/or postulates and different mathematical subjects, such as the game, automata, catastrophe, logical operations theories, etc. This concept is explored mathematically using classical mathematics as calculus of variation and the probability theory, which are potent enough, without needing to developnew,specifiedmathematical systemicmethods. The formal IMD model automatically includes the related results from other fields, such as linear, nonlinear, collective and chaotic dynamics, stability theory, theory of information, physical analogies of classical and quant | | 出版日期 | Book 2003 | | 關(guān)鍵詞 | Information Technology (IT); Mathematica; algorithms; communication; complexity; computer; computer scienc | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-0401-6 | | isbn_softcover | 978-1-4613-5058-3 | | isbn_ebook | 978-1-4615-0401-6Series ISSN 0893-3405 | | issn_series | 0893-3405 | | copyright | Springer Science+Business Media Dordrecht 2003 |
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