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Books > Reference & Interdisciplinary > Communication studies > Information theory
Ecosystems, the human brain, ant colonies, and economic networks are all complex systems displaying collective behaviour, or emergence, beyond the sum of their parts. Complexity science is the systematic investigation of these emergent phenomena, and stretches across disciplines, from physics and mathematics, to biological and social sciences. This introductory textbook provides detailed coverage of this rapidly growing field, accommodating readers from a variety of backgrounds, and with varying levels of mathematical skill. Part I presents the underlying principles of complexity science, to ensure students have a solid understanding of the conceptual framework. The second part introduces the key mathematical tools central to complexity science, gradually developing the mathematical formalism, with more advanced material provided in boxes. A broad range of end of chapter problems and extended projects offer opportunities for homework assignments and student research projects, with solutions available to instructors online. Key terms are highlighted in bold and listed in a glossary for easy reference, while annotated reading lists offer the option for extended reading and research.
This book includes two objectives. The first goal is to present advances and developments which have proved to be effective in their application to several complex problems. The second objective is to present the performance comparison of various metaheuristic techniques when they face complex optimization problems. The material has been compiled from a teaching perspective. Most of the problems in science, engineering, economics, and other areas can be translated as an optimization or a search problem. According to their characteristics, some problems can be simple that can be solved by traditional optimization methods based on mathematical analysis. However, most of the problems of practical importance in engineering represent complex scenarios so that they are very hard to be solved by using traditional approaches. Under such circumstances, metaheuristic has emerged as the best alternative to solve this kind of complex formulations. This book is primarily intended for undergraduate and postgraduate students. Engineers and application developers can also benefit from the book contents since it has been structured so that each chapter can be read independently from the others, and therefore, only potential interesting information can be quickly available for solving an industrial problem at hand.
This book continues the tradition of its predecessors "Automation, Communication and Cybernetics in Science and Engineering 2009/2010 and 2011/2012" and includes a representative selection of scientific publications from researchers at the institute cluster IMA/ZLW & IfU. IMA - Institute of Information Management in Mechanical Engineering ZLW - Center for Learning and Knowledge Management IfU - Associated Institute for Management Cybernetics e.V. Faculty of Mechanical Engineering, RWTH Aachen University The book presents a range of innovative fields of application, including: cognitive systems, cyber-physical production systems, robotics, automation technology, machine learning, natural language processing, data mining, predictive data analytics, visual analytics, innovation and diversity management, demographic models, virtual and remote laboratories, virtual and augmented realities, multimedia learning environments, organizational development and management cybernetics. The contributions selected reflect the fundamental paradigm shift toward an increasingly interdisciplinary research world - which has always been both the basis and spirit of the institute cluster IMA/ZLW & IfU.
"Find it hard to extract and utilise valuable knowledge from the
ever-increasing data deluge?" If so, this book will help, as it
explores pattern recognition technology and its concomitant role in
extracting useful information to build technical and business
models to gain competitive industrial advantage. Two wave fronts are upon us today: we are being bombarded by an
enormous amount of data, and we are confronted by continually
increasing technical and business advances. Ideally, the endless stream of data should be one of our major
assets. However, this potential asset often tends to overwhelm
rather than enrich. Competitive advantage depends on our ability to
extract and utilize nuggets of valuable knowledge and insight from
this data deluge. The challenges that need to be overcome include
the under-utilization of available data due to competing
priorities, and the separate and somewhat disparate existing data
systems that have difficulty interacting with each other. Conventional approaches to formulating models are becoming
progressively more expensive in time and effort. To impart a
competitive edge, engineering science in the 21st century needs to
augment traditional modelling processes by auto-classifying and
self-organizing data; developing models directly from operating
experience, and then optimizing the results to provide effective
strategies and operating decisions. This approach has wide
applicability; in areas ranging from manufacturing processes,
product performance and scientific research, to financial and
business fields. This monograph explores pattern recognition technology, and its
concomitant role in extracting useful knowledge to build technical
and business models directly from data, and in optimizing the
results derived from these models within the context of delivering
competitive industrial advantage. It is not intended to serve as a
comprehensive reference source on the subject. Rather, it is based
on first-hand experience in the practice of this technology: its
development and deployment for profitable application in
industry. The technical topics covered in the monograph will focus on the
triad of technological areas that constitute the contemporary
workhorses of successful industrial application of pattern
recognition. These are: systems for self-organising data;
data-driven modelling; and genetic algorithms as robust
optimizers.
An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, this unique text allows either topic to be presented independently, and it was specifically designed so that the data compression section requires no prior knowledge of information theory.
This book contains all refereed papers accepted during the ninth edition of the conference that took place at the Cite Internationale Universitaire de Paris on December 18-19, 2018. Mastering complex systems requires an integrated understanding of industrial practices as well as sophisticated theoretical techniques and tools. This explains the creation of an annual go-between forum in Paris dedicated to academic researchers & industrial actors working on complex industrial systems architecture, modeling & engineering. These proceedings cover the most recent trends in the emerging field of Complex Systems, both from an academic and a professional perspective. A special focus is put on "Products & services development in a digital world". The CSD&M Paris 2018 conference is organized under the guidance of CESAM Community (http://cesam.community/en). CESAM Community has been developed since 2010 by the non-profit organization CESAMES Association to organize the sharing of good practices in Enterprise and Systems Architecture and to certify the level of knowledge and proficiency in this field through CESAM certification.
The present book includes a set of selected papers from the Fifth International Conf- ence on Informatics in Control Automation and Robotics (ICINCO 2008), held in Funchal, Madeira - Portugal, from 11 to 15 May 2008. The conference was organized in three simultaneous tracks: Intelligent Control Systems and Optimization, Robotics and Automation, and Systems Modeling, Signal Processing and Control. The book is based on the same structure. ICINCO 2008 received 392 paper submissions, from more than 50 different co- tries in all continents. From these, after a blind review process, only 33 where - cepted as full papers, of which 18 were selected for inclusion in this book, based on the classifications provided by the Program Committee. The selected papers reflect the interdisciplinary nature of the conference. The diversity of topics is an important feature of this conference, enabling an overall perception of several important sci- tific and technological trends. These high quality standards will be maintained and reinforced at ICINCO 2009, to be held in Milan, Italy, and in future editions of this conference.
The world in which classical positivistic science and technology obtained great success has vanished. However, the way of thinking promoted by that epoch still lingers in our social consciousness, sometimes as a burden. To conquer the short-comings of classical analytical science in the modern, ever more complex world, systems theory and its applications within systems science present an alternative to old paradigms. Systems theorists see common principles in the structure and operation of systems of all kinds and sizes. They promote an interdisciplinary science adapted for a universal application with a common language and area of concepts. This approach is seen as a means of not only overcoming the fragmentation of knowledge and the isolation of the specialist, but also finding new solutions to problems created by the earlier "solution of problems". This book introduces the systemic alternative. It is divided into two parts. The first is devoted to the historical background of the systems movement, and presents pioneering thoughts and theories of the area. Basic concepts of general systems theory with well-known laws and principles are discussed, as well as related topics like cybernetics and information theory. The second part deals with some of the common applications of systems theory within systems science, such as artificial intelligence, management information systems and informatics. An attempt is made to predict the future of systems theory in a world apparently becoming fragmented and integrated at the same time. To engage oneself in systems theory and its striving towards an applied universal science is a highly cross-scientific occupation. The reader will come intocontact with many different academic disciplines, and consequently the possibility of an all-round education -- something particularly needed in our over-specialized world.
Offers Both Standard and Novel Approaches for the Modeling of SystemsExamines the Interesting Behavior of Particular Classes of Models Chaotic Modelling and Simulation: Analysis of Chaotic Models, Attractors and Forms presents the main models developed by pioneers of chaos theory, along with new extensions and variations of these models. Using more than 500 graphs and illustrations, the authors show how to design, estimate, and test an array of models. Requiring little prior knowledge of mathematics, the book focuses on classical forms and attractors as well as new simulation methods and techniques. Ideas clearly progress from the most elementary to the most advanced. The authors cover deterministic, stochastic, logistic, Gaussian, delay, Henon, Holmes, Lorenz, Roessler, and rotation models. They also look at chaotic analysis as a tool to design forms that appear in physical systems; simulate complicated and chaotic orbits and paths in the solar system; explore the Henon-Heiles, Contopoulos, and Hamiltonian systems; and provide a compilation of interesting systems and variations of systems, including the very intriguing Lotka-Volterra system. Making a complex topic accessible through a visual and geometric style, this book should inspire new developments in the field of chaotic models and encourage more readers to become involved in this rapidly advancing area.
Vilfredo Pareto was one of the great systems theorists of the 20th century, embracing economics, psychology, sociology and politics. In this work, Michael McLure takes as his subject of study the rapport between Pareto's economic and sociological theories, and consequently illuminates the role of economics in public policy development. A central theme running through this book is the overarching role of the "mechanical analogy" in all of Pareto's work. Important aspects and implications of Pareto's work considered by the author include: relations between pure economic theory and general sociology; the problem of collective economic welfare; the juxtaposition of Pareto's political sociology to Buchanan's public choice/constitutional economics; Pareto and methodology; and implications for public policy and government
This book highlights the most important aspects of mathematical modeling, computer simulation, and control of medium-scale power systems. It discusses a number of practical examples based on Sri Lanka's power system, one characterized by comparatively high degrees of variability and uncertainty. Recently introduced concepts such as controlled disintegration to maintain grid stability are discussed and studied using simulations of practical scenarios. Power systems are complex, geographically distributed, dynamical systems with numerous interconnections between neighboring systems. Further, they often comprise a generation mix that includes hydro, thermal, combined cycle, and intermittent renewable plants, as well as considerably extended transmission lines. Hence, the detailed analysis of their transient behaviors in the presence of disturbances is both highly theory-intensive and challenging in practice. Effectively regulating and controlling power system behavior to ensure consistent service quality and transient stability requires the use of various schemes and systems. The book's initial chapters detail the fundamentals of power systems; in turn, system modeling and simulation results using Power Systems Computer Aided Design/Electromagnetic Transients including DC (PSCAD/EMTDC) software are presented and compared with available real-world data. Lastly, the book uses computer simulation studies under a variety of practical contingency scenarios to compare several under-frequency load-shedding schemes. Given the breadth and depth of its coverage, it offers a truly unique resource on the management of medium-scale power systems.
The expertise of a professional mathmatician and a theoretical engineer provides a fresh perspective of stability and stable oscillations. The current state of affairs in stability theory, absolute stability of control systems, and stable oscillations of both periodic and almost periodic discrete systems is presented, including many applications in engineering such as stability of digital filters, digitally controlled thermal processes, neurodynamics, and chemical kinetics. This book will be an invaluable reference source for those whose work is in the area of discrete dynamical systems, difference equations, and control theory or applied areas that use discrete time models.
"i In the Sky" is a collection of essays by more than 40 experts, including such leading writers as Charles Handy, Don Tapscott, and Kevin Warwick, giving their personal vision of the future of information. Information here is given its widest meaning and includes such subjects as the Internet, electronic commerce, cybernetics, robotics, artificial intelligence, and even computers as fashion accessories. Information as phenomenon pervades all areas of life, and its evolution has consequences for everyone. Many of the essays have as their central themes the future of computer intelligence; library and information services; interactive Internet marketing; networked learning in higher education; the linking of technology enabling remote and online communication to the deconstruction of the modern corporation; artificial intelligence; scholarly communication; smart houses; intelligent appliances; etc.
Drawing on case studies from Denmark, The Netherlands and the UK, this book discusses new Information and Communication Technologies (ICTs). Contributors argue that ICTs play an important role in the process of restructuring and redefining basic relations within the political systems of Western democracies.
This issue represents a broad synopsis of the past, present, and future of electronic publishing. The contributors explore the opportunities and challenges related to this new distribution channel, and the effect of this change on publishers, authors/editors, distributors, and consumers. Standing with the key to the "new world," publishers will be faced with new opportunities and nagging issues related to new competition, content control, and protection of revenue streams requiring strategies that stress rationalization of distribution systems, cross-promotion, strategic pricing, and leveraging to new revenue sources. In addition, this issue also highlights the objections of consumers to these types of change, the benefits of the new technology for consumers, and the adaptation of the publishing industry as a whole.
This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi-Sugeno models. This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, as well as mechanical and chemical engineering.
This is the first knowledge book in the Resources for the Knowledge-Based Economy Readers' series to link the two hot topics of knowledge and strategy. The book centers around the concept of treating organizational knowledge as a valuable strategy asset. Knowledge strategy is a natural extension of the historical development of business strategy in general. The book includes seminal articles on the subject as well as an introduction written by Michael Zack.
This book introduces a new branch of evaluation theory, where evaluation and score calculation is embedded into general measure theory, as is typical in geometry, probability theory and reliability theory. The author describes the theoretical background of new evaluation model for complex processes, where interests of involved groups are considered as multi-players of evaluation process. Readers will learn how the logical structure of a process/system can be included into an evaluation. The author applies these techniques not only to the visualization of evaluation goals, but also the designed logical structure becomes the basis for calculation of evaluation scores. Various examples are provides to demonstrate the implementation of the methods.
This book addresses many of the issues facing new and seasoned
communication and media administrators. Though there are
business-oriented management and leadership books, there is no
handbook--to the editor's knowledge--that emphasizes academic
administration. This book fills an important gap in the literature
by providing--in one place--interesting, important, and useful
information that will help administrators by anticipating problems
and suggesting strategies for the variety of challenges they face.
This book addresses many of the issues facing new and seasoned
communication and media administrators. Though there are
business-oriented management and leadership books, there is no
handbook--to the editor's knowledge--that emphasizes academic
administration. This book fills an important gap in the literature
by providing--in one place--interesting, important, and useful
information that will help administrators by anticipating problems
and suggesting strategies for the variety of challenges they face.
Modern Statistical, Systems, and GPSS Simulation, Second Edition introduces the theory and implementation of discrete-event simulation. This text: |
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