Описание: This monograph demonstrates the interplay between Shannon information and semantic information in cognition. In the process of information adaptation, quantitative variations in Shannon`s information entail different meanings while different meanings affect the quantity of information.
Автор: Gregory J. Chaitin Название: Exploring RANDOMNESS ISBN: 1447110854 ISBN-13(EAN): 9781447110859 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This essential companion to Chaitin`s successful books The Unknowable and The Limits of Mathematics, presents the technical core of his theory of program-size complexity. The LISP code for this book is available at the author`s Web site together with a Java applet LISP interpreter.
Автор: Dieter van Melkebeek Название: Randomness and Completeness in Computational Complexity ISBN: 3540414924 ISBN-13(EAN): 9783540414926 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text, based on the author`s competition-winning PhD thesis, studies central issues in computational complexity: the relative power of time, space, and randomness in computing and verification. He presents approaches based on such concepts as density, redundancy, and frequency of occurrence.
Автор: Rodney G. Downey; Denis R. Hirschfeldt Название: Algorithmic Randomness and Complexity ISBN: 1493938207 ISBN-13(EAN): 9781493938209 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Exploring the theory of computability and complexity over the real numbers, this book provides a systematic, technical development of "algorithmic randomness" and complexity for scientists working in diverse fields concerned with theoretical computer science.
Автор: Cristian S. Calude Название: Information and Randomness ISBN: 3642077935 ISBN-13(EAN): 9783642077937 Издательство: Springer Рейтинг: Цена: 11173.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first edition of the monograph Information and Randomness: An Algorithmic Perspective by Crist ian Calude was published in 1994. In my Foreword I said: "The research in algorithmic information theory is already some 30 years old. However, only the recent years have witnessed a really vigorous growth in this area. . . . The present book by Calude fits very well in our series. Much original research is presented. . . making the approach richer in consequences than the classical one. Remarkably, however, the text is so self-contained and coherent that the book may also serve as a textbook. All proofs are given in the book and, thus, it is not necessary to consult other sources for classroom instruction. " The vigorous growth in the study of algorithmic information theory has continued during the past few years, which is clearly visible in the present second edition. Many new results, examples, exercises and open prob- lems have been added. The additions include two entirely new chapters: "Computably Enumerable Random Reals" and "Randomness and Incom- pleteness". The really comprehensive new bibliography makes the book very valuable for a researcher. The new results about the characterization of computably enumerable random reals, as well as the fascinating Omega Numbers, should contribute much to the value of the book as a textbook. The author has been directly involved in these results that have appeared in the prestigious journals Nature, New Scientist and Pour la Science.
Автор: Bernd M?ller; Michael Beer Название: Fuzzy Randomness ISBN: 3642073123 ISBN-13(EAN): 9783642073120 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: sections dealing with fuzzy functions and fuzzy random functions are certain to be of special interest. The methods of fuzzy structural analysis and fuzzy probabilistic structural analysis developed in Chap. The most important forms of the latter are the Fuzzy Finite Element Method (FFEM) and the Fuzzy Stochastic Finite Element Method (FSFEM).
Описание: This book gathers contributions to the 3rd International Conference on Smart Learning Ecosystems and Regional Developments (SLERD 2018), held at Aalborg University, Denmark on 23-25 May 2018. What characterizes smart learning ecosystems?
Автор: Hendrik Knoche; Elvira Popescu; Antonio Cartelli Название: The Interplay of Data, Technology, Place and People for Smart Learning ISBN: 303006350X ISBN-13(EAN): 9783030063504 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gathers contributions to the 3rd International Conference on Smart Learning Ecosystems and Regional Developments (SLERD 2018), held at Aalborg University, Denmark on 23–25 May 2018.What characterizes smart learning ecosystems? What is their role in city and regional development and innovation? How can we promote citizen engagement in smart learning ecosystems? These are some of the questions addressed at SLERD 2018 and documented in these proceedings, which include a diverse range of papers intended to help understand, conceive, and promote innovative human-centric design and development methods, education/training practices, informal social learning, and citizen-driven policies. The papers elaborate on the notion of smart learning ecosystems, assess the relation of smart learning ecosystems with their physical surroundings, and identify new resources for smart learning. SLERD 2018 contributes to foster the social innovation sectors, ICT and economic development and deployment strategies, as well as new policies for smarter, more proactive citizens. As such, these proceedings are relevant for researchers and policymakers alike.
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