[PDF] Adaptive Networks eBook

Author : Thilo Gross
Publisher : Springer Science & Business Media
Page : 340 pages
File Size : 24,11 MB
Release : 2009-08-11
Category : Science
ISBN : 3642012841

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Adding one and one makes two, usually. But sometimes things add up to more than the sum of their parts. This observation, now frequently expressed in the maxim “more is different”, is one of the characteristic features of complex systems and, in particular, complex networks. Along with their ubiquity in real world systems, the ability of networks to exhibit emergent dynamics, once they reach a certain size, has rendered them highly attractive targets for research. The resulting network hype has made the word “network” one of the most in uential buzzwords seen in almost every corner of science, from physics and biology to economy and social sciences. The theme of “more is different” appears in a different way in the present v- ume, from the viewpoint of what we call “adaptive networks.” Adaptive networks uniquely combine dynamics on a network with dynamical adaptive changes of the underlying network topology, and thus they link classes of mechanisms that were previously studied in isolation. Here adding one and one certainly does not make two, but gives rise to a number of new phenomena, including highly robust se- organization of topology and dynamics and other remarkably rich dynamical beh- iors.

Author : Sibout G. Nooteboom
Publisher : Eburon Uitgeverij B.V.
Page : 254 pages
File Size : 44,14 MB
Release : 2006
Category : Public-private sector cooperation
ISBN : 9059721470

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Public and private managers who are looking for sustainable development have to implement innovative solutions in a complex field of action. Joint action is needed, but the existing power networks within and between public and private domains tend to frustrate joint innovations. This book analyzes how public and private managers deal with energy transitions by creating innovative networks capable of co-ordinated action. A case study shows how separated power networks in the field of mobility, energy and environment, which are spread over the public and private world as well as civil society, are becoming more interconnected

Author : Thilo Gross
Publisher : Springer
Page : 332 pages
File Size : 44,65 MB
Release : 2012-03-14
Category : Science
ISBN : 9783642260148

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Adding one and one makes two, usually. But sometimes things add up to more than the sum of their parts. This observation, now frequently expressed in the maxim “more is different”, is one of the characteristic features of complex systems and, in particular, complex networks. Along with their ubiquity in real world systems, the ability of networks to exhibit emergent dynamics, once they reach a certain size, has rendered them highly attractive targets for research. The resulting network hype has made the word “network” one of the most in uential buzzwords seen in almost every corner of science, from physics and biology to economy and social sciences. The theme of “more is different” appears in a different way in the present v- ume, from the viewpoint of what we call “adaptive networks.” Adaptive networks uniquely combine dynamics on a network with dynamical adaptive changes of the underlying network topology, and thus they link classes of mechanisms that were previously studied in isolation. Here adding one and one certainly does not make two, but gives rise to a number of new phenomena, including highly robust se- organization of topology and dynamics and other remarkably rich dynamical beh- iors.

Author : Anne-Ly Do
Publisher : CRC Press
Page : 110 pages
File Size : 20,88 MB
Release : 2022-09-01
Category : Computers
ISBN : 1000794393

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In the last years, adaptive networks have been discovered simultaneously in different fields as a universal framework for the study of self-organization phenomena. Understanding the mechanisms behind these phenomena is hoped to bring forward not only empirical disciplines such as biology, sociology, ecology, and economy, but also engineering disciplines seeking to employ controlled emergence in future technologies. This volume presents new analytical approaches, which combine tools from dynamical systems theory and statistical physics with tools from graph theory to address the principles behind adaptive self-organization. It is the first class of approaches that is applicable to continuous networks. The volume discusses the mechanisms behind three emergent phenomena that are prominently discussed in the context of biological and social sciences:• synchronization,• spontaneous diversification, and• self-organized criticality.Self-organization in continuous adaptive networks contains extended research papers. It can serve as both, a review of recent results on adaptive self-organization as well as a tutorial of new analytical methodsSelf-organization in continuous adaptive networks is ideal for academic staff and master/research students in complexity and network sciences, in engineering, physics and maths.

Author : Jan Treur
Publisher : Springer Nature
Page : 412 pages
File Size : 19,80 MB
Release : 2019-11-01
Category : Technology & Engineering
ISBN : 3030314456

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This book addresses the challenging topic of modeling adaptive networks, which often manifest inherently complex behavior. Networks by themselves can usually be modeled using a neat, declarative, and conceptually transparent Network-Oriented Modeling approach. In contrast, adaptive networks are networks that change their structure; for example, connections in Mental Networks usually change due to learning, while connections in Social Networks change due to various social dynamics. For adaptive networks, separate procedural specifications are often added for the adaptation process. Accordingly, modelers have to deal with a less transparent, hybrid specification, part of which is often more at a programming level than at a modeling level. This book presents an overall Network-Oriented Modeling approach that makes designing adaptive network models much easier, because the adaptation process, too, is modeled in a neat, declarative, and conceptually transparent Network-Oriented Modeling manner, like the network itself. Thanks to this approach, no procedural, algorithmic, or programming skills are needed to design complex adaptive network models. A dedicated software environment is available to run these adaptive network models from their high-level specifications. Moreover, because adaptive networks are described in a network format as well, the approach can simply be applied iteratively, so that higher-order adaptive networks in which network adaptation itself is adaptive (second-order adaptation), too can be modeled just as easily. For example, this can be applied to model metaplasticity in cognitive neuroscience, or second-order adaptation in biological and social contexts. The book illustrates the usefulness of this approach via numerous examples of complex (higher-order) adaptive network models for a wide variety of biological, mental, and social processes. The book is suitable for multidisciplinary Master’s and Ph.D. students without assuming much prior knowledge, although also some elementary mathematical analysis is involved. Given the detailed information provided, it can be used as an introduction to Network-Oriented Modeling for adaptive networks. The material is ideally suited for teaching undergraduate and graduate students with multidisciplinary backgrounds or interests. Lecturers will find additional material such as slides, assignments, and software.

Author : Yoh-Han Pao
Publisher : Addison Wesley Publishing Company
Page : 344 pages
File Size : 21,48 MB
Release : 1989
Category : Computers
ISBN :

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A coherent introduction to the basic concepts of pattern recognition, incorporating recent advances from AI, neurobiology, engineering, and other disciplines. Treats specifically the implementation of adaptive pattern recognition to neural networks. Annotation copyright Book News, Inc. Portland, Or.

Author : Lagkas, Thomas D.
Publisher : IGI Global
Page : 438 pages
File Size : 30,81 MB
Release : 2013-06-30
Category : Computers
ISBN : 1466641908

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Cognitive networks can be crucial for the evolution of future communication systems; however, current trends have indicated major movement in other relevant fields towards the integration of different techniques for the realization of self-aware and self-adaptive communication systems. Evolution of Cognitive Networks and Self-Adaptive Communication Systems overviews innovative technologies combined for the formation of self-aware, self-adaptive, and self-organizing networks. By aiming to inform the research community and the related industry of solutions for cognitive networks, this book is essential for researchers, instructors, and professionals interested in clarifying the latest trends resulting in a unified realization for cognitive networking and communication systems.

Author : Michael J. Arena
Publisher : McGraw Hill Professional
Page : 289 pages
File Size : 42,90 MB
Release : 2018-06-15
Category : Business & Economics
ISBN : 1260118037

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Lack of Agility is the kiss of death. Position your company to succeed in world of change.To edge out the competition in today’s disruptive environment, you need to ensure that your company is agile—that it can respond to change instantly and effectively. Because fast and furious change is the only thing you can count on in business today.Network expert Michael Arena helped enable GM’s legendary turnaround. In these pages, he explains how you can transform your own company through the concept of adaptive space. Based on hundreds of interviews and the author’s own groundbreaking study of dozens of organizations spanning a variety of industries, Adaptive Space shows how to position your company for today—and for the future—by enabling creativity, innovation, and novel ideas to flow freely among teams, across departments, and throughout the company. Using GM as the main case study—along with the stories of other highly adaptive organizations, like Apple, Amazon, Disney, and Gore—Arena provides a model you can follow to reinvent your company. It’s about inspiring employees to explore new ideas, empowering the most creative people and teams to spread their ideas across the organization, and operationalizing the entrepreneurial spirit so adaptability is set in stone. Hesitation is a killer in today’s business landscape. With Adaptive Space, you have everything you need to confront disruption with smart, confident actions and seize the valuable opportunities that come with change.

Author : George A. Rovithakis
Publisher : Springer Science & Business Media
Page : 203 pages
File Size : 31,8 MB
Release : 2012-12-06
Category : Computers
ISBN : 1447107853

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The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Neural networks is one of those areas where an initial burst of enthusiasm and optimism leads to an explosion of papers in the journals and many presentations at conferences but it is only in the last decade that significant theoretical work on stability, convergence and robustness for the use of neural networks in control systems has been tackled. George Rovithakis and Manolis Christodoulou have been interested in these theoretical problems and in the practical aspects of neural network applications to industrial problems. This very welcome addition to the Advances in Industrial Control series provides a succinct report of their research. The neural network model at the core of their work is the Recurrent High Order Neural Network (RHONN) and a complete theoretical and simulation development is presented. Different readers will find different aspects of the development of interest. The last chapter of the monograph discusses the problem of manufacturing or production process scheduling.

Author : Nikolay Nikolaev
Publisher : Springer Science & Business Media
Page : 329 pages
File Size : 26,14 MB
Release : 2006-08-18
Category : Computers
ISBN : 0387312404

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This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized model identification process by which to discover models that generalize and predict well. The book further facilitates the discovery of polynomial models for time-series prediction.